diff --git a/README.md b/README.md
index a0594e6..005c04b 100644
--- a/README.md
+++ b/README.md
@@ -35,3 +35,4 @@ The `original_pipeline` folder contains a doc2vec model (trained on different ne
1. BERTopic: https://maartengr.github.io/BERTopic/index.html
2. BERT NER: https://huggingface.co/dslim/bert-large-NER
+3. BART MNLI: https://huggingface.co/facebook/bart-large-mnli
diff --git a/topic_model/open_ai_label.json b/topic_model/open_ai_label.json
new file mode 100644
index 0000000..d010697
--- /dev/null
+++ b/topic_model/open_ai_label.json
@@ -0,0 +1,23652 @@
+{
+ "0": {
+ "Name": "0_ooops_wham_downtime_blah",
+ "OpenAI_label": "Expressions/Emotions",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KT2n1V3Dulmr5qawCerBmvxAERGu",
+ "object": "chat.completion",
+ "created": 1685112561,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 118,
+ "completion_tokens": 4,
+ "total_tokens": 122
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Expressions/Emotions"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "1": {
+ "Name": "1_inning_yankees_homer_francona",
+ "OpenAI_label": "Baseball",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KT3CIia47F5n171bg8Uz5OYfFlLS",
+ "object": "chat.completion",
+ "created": 1685112586,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 122,
+ "completion_tokens": 2,
+ "total_tokens": 124
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Baseball"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "2": {
+ "Name": "2_brady_parcells_dolphins_kraft",
+ "OpenAI_label": "Football.",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KT3ElHJSThmWrBCE8z9Joa20cD3p",
+ "object": "chat.completion",
+ "created": 1685112588,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 126,
+ "completion_tokens": 2,
+ "total_tokens": 128
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Football."
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "3": {
+ "Name": "3_celtics_ainge_rondo_rivers",
+ "OpenAI_label": "Basketball",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KT3FBj6cgxZa4cTD4uWDcUfJ21Sm",
+ "object": "chat.completion",
+ "created": 1685112589,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
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+ "completion_tokens": 2,
+ "total_tokens": 128
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Basketball"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "4": {
+ "Name": "4_cemetery_mrs_bogl_graduated",
+ "OpenAI_label": "Personal Life/Obit",
+ "OpenAI_metadata": {
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+ "object": "chat.completion",
+ "created": 1685112590,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
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+ "completion_tokens": 5,
+ "total_tokens": 126
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Personal Life/Obit"
+ },
+ "finish_reason": "length",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "5": {
+ "Name": "5_kills_duxbury_catholic_xaverian",
+ "OpenAI_label": "Sports Teams.",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KT3H5iI2pQ0hihVXmFHR8N8wRCqv",
+ "object": "chat.completion",
+ "created": 1685112591,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
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+ "completion_tokens": 3,
+ "total_tokens": 127
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Sports Teams."
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "6": {
+ "Name": "6_menu_shrimp_roasted_cuisine",
+ "OpenAI_label": "Dining",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KT6xHSS099txjgT76fSMeftAmvUl",
+ "object": "chat.completion",
+ "created": 1685112819,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
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+ "completion_tokens": 2,
+ "total_tokens": 120
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Dining"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "7": {
+ "Name": "7_felshin_necee_regis_stimulation",
+ "OpenAI_label": "Body and Movement Science.",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KTG98RJDlzwFt7SdfdQZEHr32Q11",
+ "object": "chat.completion",
+ "created": 1685113389,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
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+ "completion_tokens": 5,
+ "total_tokens": 125
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Body and Movement Science."
+ },
+ "finish_reason": "length",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "8": {
+ "Name": "8_mcilroy_lpga_golfers_fairway",
+ "OpenAI_label": "Professional Golf.",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KTHveTyhpCnkhyDdSCJMDSl0nIS3",
+ "object": "chat.completion",
+ "created": 1685113499,
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+ },
+ "choices": [
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+ "message": {
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+ "content": "Professional Golf."
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "9": {
+ "Name": "9_puck_bourque_chara_milbury",
+ "OpenAI_label": "Hockey Players",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KTHwp496MVRYU5ztuq7aCsg0AhiI",
+ "object": "chat.completion",
+ "created": 1685113500,
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+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Hockey Players"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "10": {
+ "Name": "10_pg_burr_ty_wesley",
+ "OpenAI_label": "Movie Production",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KTHxATxf5nd8HXMDpbKgMOJjeSIB",
+ "object": "chat.completion",
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+ "total_tokens": 123
+ },
+ "choices": [
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+ "message": {
+ "role": "assistant",
+ "content": "Movie Production"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "11": {
+ "Name": "11_guitarist_punk_vocals_pop",
+ "OpenAI_label": "Musician",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KTHypDXcwMOLe919m1433H0LSTDk",
+ "object": "chat.completion",
+ "created": 1685113502,
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+ },
+ "choices": [
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+ "message": {
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+ "content": "Musician"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "12": {
+ "Name": "12_paintings_mfa_curator_smee",
+ "OpenAI_label": "Art showcase",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KTHzVEpqbuS1nCoH8JrY25Qvlh6B",
+ "object": "chat.completion",
+ "created": 1685113503,
+ "model": "gpt-3.5-turbo-0301",
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+ "completion_tokens": 2,
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+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Art showcase"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "13": {
+ "Name": "13_bso_concerto_beethoven_conductor",
+ "OpenAI_label": "Classical Music",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KTI0KFiSnca9V34nb5TYQxISKvzr",
+ "object": "chat.completion",
+ "created": 1685113504,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
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+ "completion_tokens": 3,
+ "total_tokens": 130
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Classical Music"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "14": {
+ "Name": "14_medicare_coverage_caritas_deaconess",
+ "OpenAI_label": "Health Insurance",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KTI1Di36d0RJi7FNPqbRjIYmyIXe",
+ "object": "chat.completion",
+ "created": 1685113505,
+ "model": "gpt-3.5-turbo-0301",
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+ },
+ "choices": [
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+ "content": "Health Insurance"
+ },
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+ "index": 0
+ }
+ ]
+ }
+ },
+ "15": {
+ "Name": "15_storms_fema_forecasters_inches",
+ "OpenAI_label": "Disaster Response.",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KTI2IOGzktATiJkBTMyFTLwjpMox",
+ "object": "chat.completion",
+ "created": 1685113506,
+ "model": "gpt-3.5-turbo-0301",
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+ "completion_tokens": 4,
+ "total_tokens": 123
+ },
+ "choices": [
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+ "message": {
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+ "content": "Disaster Response."
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "16": {
+ "Name": "16_coan_fires_marshal_inhalation",
+ "OpenAI_label": "Fire Safety",
+ "OpenAI_metadata": {
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+ "object": "chat.completion",
+ "created": 1685113507,
+ "model": "gpt-3.5-turbo-0301",
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+ "total_tokens": 124
+ },
+ "choices": [
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+ "content": "Fire Safety"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "17": {
+ "Name": "17_ivarson_victim_gunshots_arraigned",
+ "OpenAI_label": "Crime",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KTI4UTZMbADNKMncV10rABAb0nxT",
+ "object": "chat.completion",
+ "created": 1685113508,
+ "model": "gpt-3.5-turbo-0301",
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+ "completion_tokens": 1,
+ "total_tokens": 125
+ },
+ "choices": [
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+ "content": "Crime"
+ },
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+ }
+ ]
+ }
+ },
+ "18": {
+ "Name": "18_palestinian_plo_likud_shamir",
+ "OpenAI_label": "Middle East Conflict.",
+ "OpenAI_metadata": {
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+ "object": "chat.completion",
+ "created": 1685113509,
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+ "completion_tokens": 4,
+ "total_tokens": 131
+ },
+ "choices": [
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+ "message": {
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+ "content": "Middle East Conflict."
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "19": {
+ "Name": "19_priests_diocese_parishioners_malley",
+ "OpenAI_label": "Catholic Church",
+ "OpenAI_metadata": {
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+ "choices": [
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+ "content": "Catholic Church"
+ },
+ "finish_reason": "stop",
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+ }
+ ]
+ }
+ },
+ "20": {
+ "Name": "20_eagles_bcs_notre_acc",
+ "OpenAI_label": "College Football.",
+ "OpenAI_metadata": {
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+ "object": "chat.completion",
+ "created": 1685113511,
+ "model": "gpt-3.5-turbo-0301",
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+ "choices": [
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+ "content": "College Football."
+ },
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+ ]
+ }
+ },
+ "21": {
+ "Name": "21_vehicle_trooper_alfageeh_pronounced",
+ "OpenAI_label": "Traffic Accident",
+ "OpenAI_metadata": {
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+ },
+ "choices": [
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+ "message": {
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+ "content": "Traffic Accident"
+ },
+ "finish_reason": "stop",
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+ }
+ ]
+ }
+ },
+ "22": {
+ "Name": "22_loveletters_relationship_goldstein_edited",
+ "OpenAI_label": "Newspaper Columnists",
+ "OpenAI_metadata": {
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+ },
+ "choices": [
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+ "content": "Newspaper Columnists"
+ },
+ "finish_reason": "length",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "23": {
+ "Name": "23_died_sentenced_truman_adolf",
+ "OpenAI_label": "Historical Events or Historical",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KTIANkPRagCuzGNq2lr7yC09TFjp",
+ "object": "chat.completion",
+ "created": 1685113514,
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+ },
+ "choices": [
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+ "content": "Historical Events or Historical"
+ },
+ "finish_reason": "length",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "24": {
+ "Name": "24_mwra_sewage_dam_devillars",
+ "OpenAI_label": "Water Contamination",
+ "OpenAI_metadata": {
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+ "choices": [
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+ "content": "Water Contamination"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "25": {
+ "Name": "25_coronavirus_doses_masks_swine",
+ "OpenAI_label": "Pandemic Response.",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KTIC41VzJypFUUdboBVh97nC7utz",
+ "object": "chat.completion",
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+ "choices": [
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+ "content": "Pandemic Response."
+ },
+ "finish_reason": "length",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "26": {
+ "Name": "26_tablespoons_salt_garlic_finely",
+ "OpenAI_label": "Cooking.",
+ "OpenAI_metadata": {
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+ "object": "chat.completion",
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+ "choices": [
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+ "message": {
+ "role": "assistant",
+ "content": "Cooking."
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "27": {
+ "Name": "27_airlines_delta_jetblue_expedia",
+ "OpenAI_label": "Air Travel",
+ "OpenAI_metadata": {
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+ "object": "chat.completion",
+ "created": 1685113550,
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+ "choices": [
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+ "content": "Air Travel"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "28": {
+ "Name": "28_trillion_stimulus_deficits_bipartisan",
+ "OpenAI_label": "Government Spending",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KTIlFuSo1jFA4YqTUx6dkCoVrhOU",
+ "object": "chat.completion",
+ "created": 1685113551,
+ "model": "gpt-3.5-turbo-0301",
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+ },
+ "choices": [
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+ "message": {
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+ "content": "Government Spending"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "29": {
+ "Name": "29_comcast_netflix_nynex_rcn",
+ "OpenAI_label": "Telecommunications.",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KTImXLethfyecE2q6ib9LNlW8fA0",
+ "object": "chat.completion",
+ "created": 1685113552,
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+ },
+ "choices": [
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+ "message": {
+ "role": "assistant",
+ "content": "Telecommunications."
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "30": {
+ "Name": "30_fm_wcrb_1030_performs",
+ "OpenAI_label": "Radio Station",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KTJJ8CNK3Wb4AKmQCUj4rEbnDz9b",
+ "object": "chat.completion",
+ "created": 1685113585,
+ "model": "gpt-3.5-turbo-0301",
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+ },
+ "choices": [
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+ "message": {
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+ "content": "Radio Station"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "31": {
+ "Name": "31_casinos_plainridge_foxwoods_slot",
+ "OpenAI_label": "Gaming Industry/Trib",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KTJKXbg9SYCo0KpDJYY6RRy0W14Q",
+ "object": "chat.completion",
+ "created": 1685113586,
+ "model": "gpt-3.5-turbo-0301",
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+ },
+ "choices": [
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+ "role": "assistant",
+ "content": "Gaming Industry/Trib"
+ },
+ "finish_reason": "length",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "32": {
+ "Name": "32_idec_tysabri_biotech_elan",
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+ "object": "chat.completion",
+ "created": 1685116410,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 127,
+ "completion_tokens": 4,
+ "total_tokens": 131
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Organized Crime."
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "921": {
+ "Name": "921_merryman_kantaoming_ethnomusicology_genres",
+ "OpenAI_label": "Music Studies",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU2uZgxsSd367ckNHnpbVJlTmg9F",
+ "object": "chat.completion",
+ "created": 1685116412,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 132,
+ "completion_tokens": 2,
+ "total_tokens": 134
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Music Studies"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "922": {
+ "Name": "922_emissions_rhodium_markey_knobloch",
+ "OpenAI_label": "Climate Policy.",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU2vlBLzD5Ka06tbqcqTqt6SsQw1",
+ "object": "chat.completion",
+ "created": 1685116413,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 127,
+ "completion_tokens": 3,
+ "total_tokens": 130
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Climate Policy."
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "923": {
+ "Name": "923_sinden_mowins_reconfirming_kindheartedness",
+ "OpenAI_label": "This list appears to be",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU2wuy3Rskdc3FuVs8tbxFMELI9U",
+ "object": "chat.completion",
+ "created": 1685116414,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 129,
+ "completion_tokens": 5,
+ "total_tokens": 134
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "This list appears to be"
+ },
+ "finish_reason": "length",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "924": {
+ "Name": "924_ornaments_venier_davin_lapham",
+ "OpenAI_label": "Decorations",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU2x11oaSBVAPFImixR8RY9qUMpv",
+ "object": "chat.completion",
+ "created": 1685116415,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 127,
+ "completion_tokens": 2,
+ "total_tokens": 129
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Decorations"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "925": {
+ "Name": "925_bpl_margolis_widener_bevilaqua",
+ "OpenAI_label": "Library Services",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU2xqIbjGRMyO6LcZJaMfQAmq3zD",
+ "object": "chat.completion",
+ "created": 1685116415,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 129,
+ "completion_tokens": 2,
+ "total_tokens": 131
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Library Services"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "926": {
+ "Name": "926_nato_stoltenberg_enlargement_jens",
+ "OpenAI_label": "International politics/diplom",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU2yn7N1R5Rm3KqPdhPesYuaNVEo",
+ "object": "chat.completion",
+ "created": 1685116416,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 127,
+ "completion_tokens": 5,
+ "total_tokens": 132
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "International politics/diplom"
+ },
+ "finish_reason": "length",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "927": {
+ "Name": "927_fellowes_tattoos_sketchbook_fedex",
+ "OpenAI_label": "Diversity",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU2zBwGYpM8GyeS0qpYZs3Drxi21",
+ "object": "chat.completion",
+ "created": 1685116417,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 129,
+ "completion_tokens": 2,
+ "total_tokens": 131
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Diversity"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "928": {
+ "Name": "928_pipelines_compressed_evslin_natural",
+ "OpenAI_label": "Energy Infrastructure",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU30LVf87rW3MMPj0SCtgF15AAnS",
+ "object": "chat.completion",
+ "created": 1685116418,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 131,
+ "completion_tokens": 2,
+ "total_tokens": 133
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Energy Infrastructure"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "929": {
+ "Name": "929_earwitness_homicides_cabeys_calderon",
+ "OpenAI_label": "Crime Investigation.",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU30fbnZXMxZMBN1qAsdzgn69nqv",
+ "object": "chat.completion",
+ "created": 1685116418,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 128,
+ "completion_tokens": 3,
+ "total_tokens": 131
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Crime Investigation."
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "930": {
+ "Name": "930_stower_ethiopia_connally_oustpoken",
+ "OpenAI_label": "Political Figures",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU31s3VX9Wcwh4wOdFCYblZnTbvg",
+ "object": "chat.completion",
+ "created": 1685116419,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 128,
+ "completion_tokens": 2,
+ "total_tokens": 130
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Political Figures"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "931": {
+ "Name": "931_alvernaz_bythrow_lifeboat_kilshaw",
+ "OpenAI_label": "Maritime Disaster",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU322sTukF568Fpny85LVZbfAYnT",
+ "object": "chat.completion",
+ "created": 1685116420,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 129,
+ "completion_tokens": 3,
+ "total_tokens": 132
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Maritime Disaster"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "932": {
+ "Name": "932_noninterventionist_brahimi_iraqwas_authorizations",
+ "OpenAI_label": "International Affairs.",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU33WUNbgJyFexhQOJG6tzBHq2ox",
+ "object": "chat.completion",
+ "created": 1685116421,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 132,
+ "completion_tokens": 3,
+ "total_tokens": 135
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "International Affairs."
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "933": {
+ "Name": "933_allergies_antico_dq2_wheat",
+ "OpenAI_label": "Gluten Sensitivity",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU34UAltbL6PYtO1NltkT13uQ06e",
+ "object": "chat.completion",
+ "created": 1685116422,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 121,
+ "completion_tokens": 4,
+ "total_tokens": 125
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Gluten Sensitivity"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "934": {
+ "Name": "934_putnam_nonengineering_lehman_lens",
+ "OpenAI_label": "Diverse Organizations/Entities",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU35axcgKg2o2Y0imraTQ3ukCVKd",
+ "object": "chat.completion",
+ "created": 1685116423,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 130,
+ "completion_tokens": 5,
+ "total_tokens": 135
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Diverse Organizations/Entities"
+ },
+ "finish_reason": "length",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "935": {
+ "Name": "935_borer_beetles_anthracnose_adelgid",
+ "OpenAI_label": "Forest Entomology.",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU35nwbHuGQHK0pm81nAhjv31e0f",
+ "object": "chat.completion",
+ "created": 1685116423,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 132,
+ "completion_tokens": 5,
+ "total_tokens": 137
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Forest Entomology."
+ },
+ "finish_reason": "length",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "936": {
+ "Name": "936_cath_acad_nonleague_hockomock",
+ "OpenAI_label": "Sports/Leagues/",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU37qyNngcmiqV8JOXamyTwEw9Wk",
+ "object": "chat.completion",
+ "created": 1685116425,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 137,
+ "completion_tokens": 5,
+ "total_tokens": 142
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Sports/Leagues/"
+ },
+ "finish_reason": "length",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "937": {
+ "Name": "937_yucca_plutonium_cuddihy_casking",
+ "OpenAI_label": "Nuclear Science",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU37hM2cvuiWXfwRLGTsYILJRx6o",
+ "object": "chat.completion",
+ "created": 1685116425,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 128,
+ "completion_tokens": 3,
+ "total_tokens": 131
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Nuclear Science"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "938": {
+ "Name": "938_kanaan_reay_allmendinger_192",
+ "OpenAI_label": "NASCAR Drivers",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU39IRnqKSIFiFFhvXVqxdCLmZ5X",
+ "object": "chat.completion",
+ "created": 1685116427,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 135,
+ "completion_tokens": 4,
+ "total_tokens": 139
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "NASCAR Drivers"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "939": {
+ "Name": "939_benzodiazepines_levodopa_alerts_budney",
+ "OpenAI_label": "Medication",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU3ACddQWaHsOavUk5S8dYtfqZ5p",
+ "object": "chat.completion",
+ "created": 1685116428,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 126,
+ "completion_tokens": 2,
+ "total_tokens": 128
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Medication"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "940": {
+ "Name": "940_holyoke_remodeling_wollinger_regency",
+ "OpenAI_label": "Construction.",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU3BgNWJ4Ln7a9rj3Kv3GsAbiWGh",
+ "object": "chat.completion",
+ "created": 1685116429,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 124,
+ "completion_tokens": 2,
+ "total_tokens": 126
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Construction."
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "941": {
+ "Name": "941_bluestone_amoxicillin_relman_hpv",
+ "OpenAI_label": "Medicine",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU3CkJ5GiuV7lnxs3s05KH8q6bpa",
+ "object": "chat.completion",
+ "created": 1685116430,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 128,
+ "completion_tokens": 2,
+ "total_tokens": 130
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Medicine"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "942": {
+ "Name": "942_zoltan_elizabet_quints_retinas",
+ "OpenAI_label": "Names",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU3CsvmGd2kRSlBSlnG2CnEUMhSz",
+ "object": "chat.completion",
+ "created": 1685116430,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 131,
+ "completion_tokens": 1,
+ "total_tokens": 132
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Names"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "943": {
+ "Name": "943_masstlc_hopcroft_retraining_carbonite",
+ "OpenAI_label": "Technology Industry",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU3DNMGirSGudOVLtIzEQb33pcnR",
+ "object": "chat.completion",
+ "created": 1685116431,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 127,
+ "completion_tokens": 2,
+ "total_tokens": 129
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Technology Industry"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "944": {
+ "Name": "944_yen_deflation_trichet_storchak",
+ "OpenAI_label": "Macroeconomics",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU3EnhBmuWIXlRNGUggjJUySs9GA",
+ "object": "chat.completion",
+ "created": 1685116432,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 123,
+ "completion_tokens": 3,
+ "total_tokens": 126
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Macroeconomics"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ },
+ "945": {
+ "Name": "945_chilean_pinochet_mej\u00eda_herrarte",
+ "OpenAI_label": "Human Rights Abuses",
+ "OpenAI_metadata": {
+ "id": "chatcmpl-7KU3E4pgefx1gZVGHckRlSQLSUWGs",
+ "object": "chat.completion",
+ "created": 1685116432,
+ "model": "gpt-3.5-turbo-0301",
+ "usage": {
+ "prompt_tokens": 128,
+ "completion_tokens": 4,
+ "total_tokens": 132
+ },
+ "choices": [
+ {
+ "message": {
+ "role": "assistant",
+ "content": "Human Rights Abuses"
+ },
+ "finish_reason": "stop",
+ "index": 0
+ }
+ ]
+ }
+ }
+}
\ No newline at end of file
diff --git a/topic_model/requirements b/topic_model/requirements
new file mode 100644
index 0000000..4539372
--- /dev/null
+++ b/topic_model/requirements
@@ -0,0 +1,4 @@
+pandas
+dask
+bertopic
+urllib3==1.26.6
diff --git a/topic_model/scc_scripts/bert_topic.py b/topic_model/scc_scripts/bert_topic.py
new file mode 100644
index 0000000..13a953b
--- /dev/null
+++ b/topic_model/scc_scripts/bert_topic.py
@@ -0,0 +1,53 @@
+import pandas as pd
+import dask.dataframe as dd
+
+from bertopic import BERTopic
+
+from sentence_transformers import SentenceTransformer
+from sklearn.feature_extraction.text import CountVectorizer
+from bertopic.representation import MaximalMarginalRelevance
+from bertopic.vectorizers import ClassTfidfTransformer
+
+
+
+lndf = dd.read_csv("/projectnb/sparkgrp/ds-naacp-media-bias/Spring-2022/TBG_unique_raw.csv", blocksize=100e6, dtype={'author': 'object',
+ 'edition': 'object',
+ 'licensor_indexing_terms': 'object'})
+print("get sample of boston globe data...")
+sample = lndf.sample(frac=0.1, random_state=1)
+sample_pd = sample.compute()
+
+print("saving sample to csv...")
+sample_pd.to_csv("bglobe_100k_sample.csv") # saved here on scc: /projectnb/sparkgrp/mvoong
+
+print("cleaning article body text...")
+new_body = []
+for body in sample["body"]:
+ if body == "body":
+ new_body.append("")
+ else:
+ try:
+ new_body.append(body.split("body ")[1])
+ except IndexError:
+ new_body.append(body)
+ except AttributeError:
+ new_body.append("")
+clean_body=pd.Series(new_body)
+
+print("initializing embeddings...")
+sentence_model = SentenceTransformer("all-MiniLM-L6-v2")
+vectorizer_model = CountVectorizer(stop_words='english')
+representation_model = MaximalMarginalRelevance(diversity=0.8)
+embeddings_body = sentence_model.encode(clean_body)
+ctfidf_model = ClassTfidfTransformer(reduce_frequent_words=True)
+
+print("fitting topic model...")
+bglobe_topicmodel = BERTopic(n_gram_range = (1,3),
+ embedding_model=sentence_model,
+ vectorizer_model=vectorizer_model,
+ representation_model=representation_model,
+ ctfidf_model=ctfidf_model)
+topic_lede, prob_lede = bglobe_topicmodel.fit_transform(clean_body, embeddings_body)
+
+print("save topic model...")
+bglobe_topicmodel.save("bglobe_519_body") # saved here on scc: /projectnb/sparkgrp/mvoong
\ No newline at end of file
diff --git a/topic_model/scc_scripts/bert_topic_lede.py b/topic_model/scc_scripts/bert_topic_lede.py
new file mode 100644
index 0000000..0bf0af1
--- /dev/null
+++ b/topic_model/scc_scripts/bert_topic_lede.py
@@ -0,0 +1,36 @@
+import pandas as pd
+import dask.dataframe as dd
+
+from bertopic import BERTopic
+
+from sentence_transformers import SentenceTransformer
+from sklearn.feature_extraction.text import CountVectorizer
+from bertopic.representation import MaximalMarginalRelevance
+from bertopic.vectorizers import ClassTfidfTransformer
+
+
+
+lndf = dd.read_csv("/projectnb/sparkgrp/ds-naacp-media-bias/Spring-2022/TBG_unique_raw.csv", blocksize=100e6, dtype={'author': 'object',
+ 'edition': 'object',
+ 'licensor_indexing_terms': 'object'})
+print("get sample of boston globe data")
+sample = lndf.sample(frac=0.1, random_state=1)
+lede = sample['lede']
+
+print("initializing embeddings...")
+sentence_model = SentenceTransformer("all-MiniLM-L6-v2")
+vectorizer_model = CountVectorizer(stop_words='english')
+representation_model = MaximalMarginalRelevance(diversity=0.8)
+embeddings_lede = sentence_model.encode(lede)
+ctfidf_model = ClassTfidfTransformer(reduce_frequent_words=True)
+
+print("fitting topic model...")
+bglobe_topicmodel = BERTopic(n_gram_range = (1,3),
+ embedding_model=sentence_model,
+ vectorizer_model=vectorizer_model,
+ representation_model=representation_model,
+ ctfidf_model=ctfidf_model)
+topic_lede, prob_lede = bglobe_topicmodel.fit_transform(lede, embeddings_lede)
+
+print("save topic model...")
+bglobe_topicmodel.save("bglobe_519_lede")
\ No newline at end of file
diff --git a/topic_model/topic_model.ipynb b/topic_model/topic_model.ipynb
new file mode 100644
index 0000000..f6431ed
--- /dev/null
+++ b/topic_model/topic_model.ipynb
@@ -0,0 +1,1732 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pandas as pd\n",
+ "from bertopic import BERTopic\n",
+ "import json\n",
+ "import openai\n",
+ "from transformers import pipeline"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# load saved BERTopic Model, generate topics based on random 100k sample of the BostonGlobe (lexisnexis) data\n",
+ "topic_model = BERTopic.load(\"/Users/mvoong/Downloads/bglobe_519_body\") # for the scc: /projectnb/sparkgrp/mvoong/bglobe_519_body"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Topic | \n",
+ " Count | \n",
+ " Name | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " 0 | \n",
+ " -1 | \n",
+ " 67888 | \n",
+ " -1_iraq_selectmen_property_child | \n",
+ "
\n",
+ " \n",
+ " 1 | \n",
+ " 0 | \n",
+ " 14321 | \n",
+ " 0_ooops_wham_downtime_blah | \n",
+ "
\n",
+ " \n",
+ " 2 | \n",
+ " 1 | \n",
+ " 4612 | \n",
+ " 1_inning_yankees_homer_francona | \n",
+ "
\n",
+ " \n",
+ " 3 | \n",
+ " 2 | \n",
+ " 3412 | \n",
+ " 2_brady_parcells_dolphins_kraft | \n",
+ "
\n",
+ " \n",
+ " 4 | \n",
+ " 3 | \n",
+ " 2885 | \n",
+ " 3_celtics_ainge_rondo_rivers | \n",
+ "
\n",
+ " \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ "
\n",
+ " \n",
+ " 942 | \n",
+ " 941 | \n",
+ " 10 | \n",
+ " 941_bluestone_amoxicillin_relman_hpv | \n",
+ "
\n",
+ " \n",
+ " 943 | \n",
+ " 942 | \n",
+ " 10 | \n",
+ " 942_zoltan_elizabet_quints_retinas | \n",
+ "
\n",
+ " \n",
+ " 944 | \n",
+ " 943 | \n",
+ " 10 | \n",
+ " 943_masstlc_hopcroft_retraining_carbonite | \n",
+ "
\n",
+ " \n",
+ " 945 | \n",
+ " 944 | \n",
+ " 10 | \n",
+ " 944_yen_deflation_trichet_storchak | \n",
+ "
\n",
+ " \n",
+ " 946 | \n",
+ " 945 | \n",
+ " 10 | \n",
+ " 945_chilean_pinochet_mejía_herrarte | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
947 rows × 3 columns
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Topic Count Name\n",
+ "0 -1 67888 -1_iraq_selectmen_property_child\n",
+ "1 0 14321 0_ooops_wham_downtime_blah\n",
+ "2 1 4612 1_inning_yankees_homer_francona\n",
+ "3 2 3412 2_brady_parcells_dolphins_kraft\n",
+ "4 3 2885 3_celtics_ainge_rondo_rivers\n",
+ ".. ... ... ...\n",
+ "942 941 10 941_bluestone_amoxicillin_relman_hpv\n",
+ "943 942 10 942_zoltan_elizabet_quints_retinas\n",
+ "944 943 10 943_masstlc_hopcroft_retraining_carbonite\n",
+ "945 944 10 944_yen_deflation_trichet_storchak\n",
+ "946 945 10 945_chilean_pinochet_mejía_herrarte\n",
+ "\n",
+ "[947 rows x 3 columns]"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# topic -1 are all outliers\n",
+ "topic_model.get_topic_info()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Unnamed: 0 | \n",
+ " pub_type | \n",
+ " position_section | \n",
+ " position_subsection | \n",
+ " hl1 | \n",
+ " hl2 | \n",
+ " author | \n",
+ " lede | \n",
+ " body | \n",
+ " language | \n",
+ " word_count | \n",
+ " copyright | \n",
+ " content-id | \n",
+ " volume | \n",
+ " issue_number | \n",
+ " edition | \n",
+ " pub_name | \n",
+ " pub_date | \n",
+ " licensor_indexing_terms | \n",
+ " indexing_terms | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " 0 | \n",
+ " 12862 | \n",
+ " NaN | \n",
+ " METRO/REGION; Pg. B2 | \n",
+ " NaN | \n",
+ " MWRA issues 1st water report; | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " The Massachusetts Water Resources Authority ha... | \n",
+ " Locally, just about any level of reporting wou... | \n",
+ " ['ENGLISH'] | \n",
+ " 326.0 | \n",
+ " Copyright 1996 Globe Newspaper Company | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " The Boston Globe | \n",
+ " {'month': '08', 'day': '25', 'year': '1996'} | \n",
+ " NaN | \n",
+ " {'legal': [{'className': 'Business & Corporate... | \n",
+ "
\n",
+ " \n",
+ " 1 | \n",
+ " 17795 | \n",
+ " Newspaper, Newspapers | \n",
+ " EDITORIAL OPINION | \n",
+ " Opinion | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " OBAMA MIDEAST SPEECH ``I guess I'm a little go... | \n",
+ " - JEFFREY GOLDBERG www.theatlantic.com ``Presi... | \n",
+ " ['ENGLISH'] | \n",
+ " 363.0 | \n",
+ " Copyright 2011 Globe Newspaper Company All Rig... | \n",
+ " BGLOBE-G7C1PGAVO.3 | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " The Boston Globe | \n",
+ " {'day': '24', 'month': '05', 'year': '2011'} | \n",
+ " NaN | \n",
+ " {'subject': [{'score': '90', 'classCode': 'ST0... | \n",
+ "
\n",
+ " \n",
+ " 2 | \n",
+ " 1036 | \n",
+ " NaN | \n",
+ " METRO/REGION; Pg. B3 | \n",
+ " NaN | \n",
+ " Curley jury process begins in private; | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " Judge Judith A. Cowin yesterday barred report... | \n",
+ " CAMBRIDGE - Jury selection began behind clos... | \n",
+ " ['ENGLISH'] | \n",
+ " 331.0 | \n",
+ " Copyright 1998 Globe Newspaper Company | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " ,City Edition | \n",
+ " The Boston Globe | \n",
+ " {'month': '10', 'day': '21', 'year': '1998'} | \n",
+ " NaN | \n",
+ " {'subject': [{'score': '90', 'classCode': 'STX... | \n",
+ "
\n",
+ " \n",
+ " 3 | \n",
+ " 13596 | \n",
+ " NaN | \n",
+ " METRO/REGION; Pg. 28 | \n",
+ " NaN | \n",
+ " Pols look for that union label; | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " Touting their connections to labor unions, Cit... | \n",
+ " \"I want to be the point man for labor to go to... | \n",
+ " ['ENGLISH'] | \n",
+ " 614.0 | \n",
+ " Copyright 1995 Globe Newspaper Company | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " The Boston Globe | \n",
+ " {'month': '09', 'day': '05', 'year': '1995'} | \n",
+ " NaN | \n",
+ " {'legal': [{'className': 'Tax Law', 'classCode... | \n",
+ "
\n",
+ " \n",
+ " 4 | \n",
+ " 1669 | \n",
+ " NaN | \n",
+ " CITY WEEKLY; Pg. 1 | \n",
+ " NaN | \n",
+ " Hillary Clinton touts Somerville as a can-do c... | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " Elected officials and regular folks warmly we... | \n",
+ " SOMERVILLE - Hillary Rodham Clinton's visit ... | \n",
+ " ['ENGLISH'] | \n",
+ " 842.0 | \n",
+ " Copyright 1998 Globe Newspaper Company | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " ,City Edition | \n",
+ " The Boston Globe | \n",
+ " {'month': '10', 'day': '25', 'year': '1998'} | \n",
+ " NaN | \n",
+ " {'legal': [{'className': 'Education Law', 'cla... | \n",
+ "
\n",
+ " \n",
+ " 5 | \n",
+ " 10466 | \n",
+ " NaN | \n",
+ " EDITORIAL PAGE; Pg. A26 | \n",
+ " NaN | \n",
+ " Remembering Malcolm X; | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " At the height of Newt Gingrich's popularity, I... | \n",
+ " This thought seems to have come from history's... | \n",
+ " ['ENGLISH'] | \n",
+ " 330.0 | \n",
+ " Copyright 1997 Globe Newspaper Company | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " The Boston Globe | \n",
+ " {'month': '06', 'day': '06', 'year': '1997'} | \n",
+ " NaN | \n",
+ " {'subject': [{'score': '77', 'classCode': 'ST0... | \n",
+ "
\n",
+ " \n",
+ " 6 | \n",
+ " 6011 | \n",
+ " NaN | \n",
+ " METRO/REGION; Pg. B14 | \n",
+ " NaN | \n",
+ " School bus crash linked to drinking | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " Franklin Carrier told police he hadn't been d... | \n",
+ " LACONIA, N.H. - A man who crashed his car in... | \n",
+ " ['ENGLISH'] | \n",
+ " 226.0 | \n",
+ " Copyright 1998 Globe Newspaper Company | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " ,City Edition | \n",
+ " The Boston Globe | \n",
+ " {'month': '11', 'day': '22', 'year': '1998'} | \n",
+ " NaN | \n",
+ " {'subject': [{'score': '90', 'classCode': 'ST0... | \n",
+ "
\n",
+ " \n",
+ " 7 | \n",
+ " 19292 | \n",
+ " Newspaper, Newspapers | \n",
+ " SPORTS | \n",
+ " NaN | \n",
+ " Red Sox 7, Indians 4 | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " at Fenway Park CLEVELAND AB R H BI BB SO Avg. ... | \n",
+ " Aviles 2b 5 1 1 0 0 0 .276 Cabrera ss 5 1 3 1 ... | \n",
+ " ['ENGLISH'] | \n",
+ " 267.0 | \n",
+ " Copyright 2013 Globe Newspaper Company All Rig... | \n",
+ " BGLOBE-58872e78-c57f-11e2-9f23-d6f63dfce94a | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " The Boston Globe | \n",
+ " {'day': '26', 'month': '05', 'year': '2013'} | \n",
+ " NaN | \n",
+ " {'city': [{'score': '90', 'classCode': 'GX567'... | \n",
+ "
\n",
+ " \n",
+ " 8 | \n",
+ " 17069 | \n",
+ " Newspaper, Newspapers | \n",
+ " SPORTS | \n",
+ " NaN | \n",
+ " Two late picks earn Titans crucial victory | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " Randy Bullock made a 44-yard field goal with 4... | \n",
+ " BODY Wentz shook it off quickly. On the ensuin... | \n",
+ " ['ENGLISH'] | \n",
+ " 1266.0 | \n",
+ " Copyright 2021 Globe Newspaper Company All Rig... | \n",
+ " BGLOBE-b0cc609e3aa611ec91b5eae6a5365c28 | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " The Boston Globe | \n",
+ " {'day': '01', 'month': '11', 'year': '2021'} | \n",
+ " NaN | \n",
+ " {'legal': [{'className': 'Business & Corporate... | \n",
+ "
\n",
+ " \n",
+ " 9 | \n",
+ " 12189 | \n",
+ " NaN | \n",
+ " ECONOMY; Pg. C1 | \n",
+ " NaN | \n",
+ " Divided loyalties; | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " To bankers, it's strictly business. But to oth... | \n",
+ " \"What we have done for the state of Rhode Isla... | \n",
+ " ['ENGLISH'] | \n",
+ " 684.0 | \n",
+ " Copyright 1997 Globe Newspaper Company | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " The Boston Globe | \n",
+ " {'month': '09', 'day': '26', 'year': '1997'} | \n",
+ " NaN | \n",
+ " {'legal': [{'className': 'Business & Corporate... | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Unnamed: 0 pub_type position_section \\\n",
+ "0 12862 NaN METRO/REGION; Pg. B2 \n",
+ "1 17795 Newspaper, Newspapers EDITORIAL OPINION \n",
+ "2 1036 NaN METRO/REGION; Pg. B3 \n",
+ "3 13596 NaN METRO/REGION; Pg. 28 \n",
+ "4 1669 NaN CITY WEEKLY; Pg. 1 \n",
+ "5 10466 NaN EDITORIAL PAGE; Pg. A26 \n",
+ "6 6011 NaN METRO/REGION; Pg. B14 \n",
+ "7 19292 Newspaper, Newspapers SPORTS \n",
+ "8 17069 Newspaper, Newspapers SPORTS \n",
+ "9 12189 NaN ECONOMY; Pg. C1 \n",
+ "\n",
+ " position_subsection hl1 hl2 \\\n",
+ "0 NaN MWRA issues 1st water report; NaN \n",
+ "1 Opinion NaN NaN \n",
+ "2 NaN Curley jury process begins in private; NaN \n",
+ "3 NaN Pols look for that union label; NaN \n",
+ "4 NaN Hillary Clinton touts Somerville as a can-do c... NaN \n",
+ "5 NaN Remembering Malcolm X; NaN \n",
+ "6 NaN School bus crash linked to drinking NaN \n",
+ "7 NaN Red Sox 7, Indians 4 NaN \n",
+ "8 NaN Two late picks earn Titans crucial victory NaN \n",
+ "9 NaN Divided loyalties; NaN \n",
+ "\n",
+ " author lede \\\n",
+ "0 NaN The Massachusetts Water Resources Authority ha... \n",
+ "1 NaN OBAMA MIDEAST SPEECH ``I guess I'm a little go... \n",
+ "2 NaN Judge Judith A. Cowin yesterday barred report... \n",
+ "3 NaN Touting their connections to labor unions, Cit... \n",
+ "4 NaN Elected officials and regular folks warmly we... \n",
+ "5 NaN At the height of Newt Gingrich's popularity, I... \n",
+ "6 NaN Franklin Carrier told police he hadn't been d... \n",
+ "7 NaN at Fenway Park CLEVELAND AB R H BI BB SO Avg. ... \n",
+ "8 NaN Randy Bullock made a 44-yard field goal with 4... \n",
+ "9 NaN To bankers, it's strictly business. But to oth... \n",
+ "\n",
+ " body language word_count \\\n",
+ "0 Locally, just about any level of reporting wou... ['ENGLISH'] 326.0 \n",
+ "1 - JEFFREY GOLDBERG www.theatlantic.com ``Presi... ['ENGLISH'] 363.0 \n",
+ "2 CAMBRIDGE - Jury selection began behind clos... ['ENGLISH'] 331.0 \n",
+ "3 \"I want to be the point man for labor to go to... ['ENGLISH'] 614.0 \n",
+ "4 SOMERVILLE - Hillary Rodham Clinton's visit ... ['ENGLISH'] 842.0 \n",
+ "5 This thought seems to have come from history's... ['ENGLISH'] 330.0 \n",
+ "6 LACONIA, N.H. - A man who crashed his car in... ['ENGLISH'] 226.0 \n",
+ "7 Aviles 2b 5 1 1 0 0 0 .276 Cabrera ss 5 1 3 1 ... ['ENGLISH'] 267.0 \n",
+ "8 BODY Wentz shook it off quickly. On the ensuin... ['ENGLISH'] 1266.0 \n",
+ "9 \"What we have done for the state of Rhode Isla... ['ENGLISH'] 684.0 \n",
+ "\n",
+ " copyright \\\n",
+ "0 Copyright 1996 Globe Newspaper Company \n",
+ "1 Copyright 2011 Globe Newspaper Company All Rig... \n",
+ "2 Copyright 1998 Globe Newspaper Company \n",
+ "3 Copyright 1995 Globe Newspaper Company \n",
+ "4 Copyright 1998 Globe Newspaper Company \n",
+ "5 Copyright 1997 Globe Newspaper Company \n",
+ "6 Copyright 1998 Globe Newspaper Company \n",
+ "7 Copyright 2013 Globe Newspaper Company All Rig... \n",
+ "8 Copyright 2021 Globe Newspaper Company All Rig... \n",
+ "9 Copyright 1997 Globe Newspaper Company \n",
+ "\n",
+ " content-id volume issue_number \\\n",
+ "0 NaN NaN NaN \n",
+ "1 BGLOBE-G7C1PGAVO.3 NaN NaN \n",
+ "2 NaN NaN NaN \n",
+ "3 NaN NaN NaN \n",
+ "4 NaN NaN NaN \n",
+ "5 NaN NaN NaN \n",
+ "6 NaN NaN NaN \n",
+ "7 BGLOBE-58872e78-c57f-11e2-9f23-d6f63dfce94a NaN NaN \n",
+ "8 BGLOBE-b0cc609e3aa611ec91b5eae6a5365c28 NaN NaN \n",
+ "9 NaN NaN NaN \n",
+ "\n",
+ " edition pub_name \\\n",
+ "0 NaN The Boston Globe \n",
+ "1 NaN The Boston Globe \n",
+ "2 ,City Edition The Boston Globe \n",
+ "3 NaN The Boston Globe \n",
+ "4 ,City Edition The Boston Globe \n",
+ "5 NaN The Boston Globe \n",
+ "6 ,City Edition The Boston Globe \n",
+ "7 NaN The Boston Globe \n",
+ "8 NaN The Boston Globe \n",
+ "9 NaN The Boston Globe \n",
+ "\n",
+ " pub_date licensor_indexing_terms \\\n",
+ "0 {'month': '08', 'day': '25', 'year': '1996'} NaN \n",
+ "1 {'day': '24', 'month': '05', 'year': '2011'} NaN \n",
+ "2 {'month': '10', 'day': '21', 'year': '1998'} NaN \n",
+ "3 {'month': '09', 'day': '05', 'year': '1995'} NaN \n",
+ "4 {'month': '10', 'day': '25', 'year': '1998'} NaN \n",
+ "5 {'month': '06', 'day': '06', 'year': '1997'} NaN \n",
+ "6 {'month': '11', 'day': '22', 'year': '1998'} NaN \n",
+ "7 {'day': '26', 'month': '05', 'year': '2013'} NaN \n",
+ "8 {'day': '01', 'month': '11', 'year': '2021'} NaN \n",
+ "9 {'month': '09', 'day': '26', 'year': '1997'} NaN \n",
+ "\n",
+ " indexing_terms \n",
+ "0 {'legal': [{'className': 'Business & Corporate... \n",
+ "1 {'subject': [{'score': '90', 'classCode': 'ST0... \n",
+ "2 {'subject': [{'score': '90', 'classCode': 'STX... \n",
+ "3 {'legal': [{'className': 'Tax Law', 'classCode... \n",
+ "4 {'legal': [{'className': 'Education Law', 'cla... \n",
+ "5 {'subject': [{'score': '77', 'classCode': 'ST0... \n",
+ "6 {'subject': [{'score': '90', 'classCode': 'ST0... \n",
+ "7 {'city': [{'score': '90', 'classCode': 'GX567'... \n",
+ "8 {'legal': [{'className': 'Business & Corporate... \n",
+ "9 {'legal': [{'className': 'Business & Corporate... "
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# see the articles\n",
+ "bglobe_sample = pd.read_csv(\"/Users/mvoong/Downloads/bglobe_100k_sample.csv\") # for the scc: /projectnb/sparkgrp/mvoong/bglobe_100k_sample.csv\n",
+ "bglobe_sample.head(10)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Document | \n",
+ " Topic | \n",
+ " Name | \n",
+ " Top_n_words | \n",
+ " Probability | \n",
+ " Representative_document | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " 0 | \n",
+ " Locally, just about any level of reporting wou... | \n",
+ " 24 | \n",
+ " 24_mwra_sewage_dam_devillars | \n",
+ " mwra - sewage - dam - devillars - pfas - pcbs ... | \n",
+ " 1.0 | \n",
+ " False | \n",
+ "
\n",
+ " \n",
+ " 1 | \n",
+ " - JEFFREY GOLDBERG www.theatlantic.com ``Presi... | \n",
+ " -1 | \n",
+ " -1_iraq_selectmen_property_child | \n",
+ " iraq - selectmen - property - child - mayor - ... | \n",
+ " 0.0 | \n",
+ " False | \n",
+ "
\n",
+ " \n",
+ " 2 | \n",
+ " CAMBRIDGE - Jury selection began behind clos... | \n",
+ " -1 | \n",
+ " -1_iraq_selectmen_property_child | \n",
+ " iraq - selectmen - property - child - mayor - ... | \n",
+ " 0.0 | \n",
+ " False | \n",
+ "
\n",
+ " \n",
+ " 3 | \n",
+ " \"I want to be the point man for labor to go to... | \n",
+ " -1 | \n",
+ " -1_iraq_selectmen_property_child | \n",
+ " iraq - selectmen - property - child - mayor - ... | \n",
+ " 0.0 | \n",
+ " False | \n",
+ "
\n",
+ " \n",
+ " 4 | \n",
+ " SOMERVILLE - Hillary Rodham Clinton's visit ... | \n",
+ " -1 | \n",
+ " -1_iraq_selectmen_property_child | \n",
+ " iraq - selectmen - property - child - mayor - ... | \n",
+ " 0.0 | \n",
+ " False | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Document Topic \\\n",
+ "0 Locally, just about any level of reporting wou... 24 \n",
+ "1 - JEFFREY GOLDBERG www.theatlantic.com ``Presi... -1 \n",
+ "2 CAMBRIDGE - Jury selection began behind clos... -1 \n",
+ "3 \"I want to be the point man for labor to go to... -1 \n",
+ "4 SOMERVILLE - Hillary Rodham Clinton's visit ... -1 \n",
+ "\n",
+ " Name \\\n",
+ "0 24_mwra_sewage_dam_devillars \n",
+ "1 -1_iraq_selectmen_property_child \n",
+ "2 -1_iraq_selectmen_property_child \n",
+ "3 -1_iraq_selectmen_property_child \n",
+ "4 -1_iraq_selectmen_property_child \n",
+ "\n",
+ " Top_n_words Probability \\\n",
+ "0 mwra - sewage - dam - devillars - pfas - pcbs ... 1.0 \n",
+ "1 iraq - selectmen - property - child - mayor - ... 0.0 \n",
+ "2 iraq - selectmen - property - child - mayor - ... 0.0 \n",
+ "3 iraq - selectmen - property - child - mayor - ... 0.0 \n",
+ "4 iraq - selectmen - property - child - mayor - ... 0.0 \n",
+ "\n",
+ " Representative_document \n",
+ "0 False \n",
+ "1 False \n",
+ "2 False \n",
+ "3 False \n",
+ "4 False "
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# get docs for bert topic model - article body \n",
+ "body = bglobe_sample['body']\n",
+ "topic_model.get_document_info(body)[:5]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[('inning', 0.11658965295023382),\n",
+ " ('yankees', 0.10596102502492137),\n",
+ " ('homer', 0.10563546411665027),\n",
+ " ('francona', 0.1016020351007049),\n",
+ " ('hits', 0.09718864049137246),\n",
+ " ('pitched', 0.09581969205055282),\n",
+ " ('cora', 0.09569339427567942),\n",
+ " ('fastball', 0.09522087264278532),\n",
+ " ('righthander', 0.09321927524403119),\n",
+ " ('martinez', 0.09154655818859768)]"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# see bag of words for topic 1 \n",
+ "topic_model.get_topic(1)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 92,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def get_relevant_indexing_terms(sample):\n",
+ " # cleaning sample data, add topic column \n",
+ " # get list of possible topic labels from the indexing terms (lexisnexis labels)\n",
+ " # there's probably a much better way of doing this...\n",
+ " # to do: also if there is more than one label - they should be ranked for evaluating openai label \n",
+ " possible_topics = []\n",
+ " for terms in sample['indexing_terms']:\n",
+ " temp = []\n",
+ " try:\n",
+ " terms = eval(terms)\n",
+ " if terms['subject']:\n",
+ " for v in terms['subject']:\n",
+ " if int(v['score']) > 85:\n",
+ " temp.append(v['className'])\n",
+ " elif terms['industry']:\n",
+ " for v in terms['industry']:\n",
+ " if int(v['industry']['score']) > 85:\n",
+ " temp.append(v['className'])\n",
+ " elif terms['legal']:\n",
+ " for v in terms['legal']:\n",
+ " temp.append(v['className'])\n",
+ " possible_topics.append(temp)\n",
+ " except KeyError:\n",
+ " # no subjects, industry, or legal at all or above 85 \n",
+ " possible_topics.append(\"\") \n",
+ " except TypeError:\n",
+ " # no indexing_terms \n",
+ " possible_topics.append(\"\")\n",
+ " return possible_topics"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 93,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
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+ " lede | \n",
+ " body | \n",
+ " language | \n",
+ " ... | \n",
+ " volume | \n",
+ " issue_number | \n",
+ " edition | \n",
+ " pub_name | \n",
+ " pub_date | \n",
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+ " NaN | \n",
+ " The Boston Globe | \n",
+ " {'month': '08', 'day': '25', 'year': '1996'} | \n",
+ " NaN | \n",
+ " {'legal': [{'className': 'Business & Corporate... | \n",
+ " [BACTERIA, COLIFORM BACTERIA, WATER QUALITY, E... | \n",
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+ " - JEFFREY GOLDBERG www.theatlantic.com ``Presi... | \n",
+ " ['ENGLISH'] | \n",
+ " ... | \n",
+ " NaN | \n",
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+ " NaN | \n",
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+ " {'day': '24', 'month': '05', 'year': '2011'} | \n",
+ " NaN | \n",
+ " {'subject': [{'score': '90', 'classCode': 'ST0... | \n",
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\n",
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+ " NaN | \n",
+ " Judge Judith A. Cowin yesterday barred report... | \n",
+ " CAMBRIDGE - Jury selection began behind clos... | \n",
+ " ['ENGLISH'] | \n",
+ " ... | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " ,City Edition | \n",
+ " The Boston Globe | \n",
+ " {'month': '10', 'day': '21', 'year': '1998'} | \n",
+ " NaN | \n",
+ " {'subject': [{'score': '90', 'classCode': 'STX... | \n",
+ " [JURY TRIALS, JURY DUTY, LAWYERS, PETITIONS] | \n",
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+ " NaN | \n",
+ " NaN | \n",
+ " Touting their connections to labor unions, Cit... | \n",
+ " \"I want to be the point man for labor to go to... | \n",
+ " ['ENGLISH'] | \n",
+ " ... | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " The Boston Globe | \n",
+ " {'month': '09', 'day': '05', 'year': '1995'} | \n",
+ " NaN | \n",
+ " {'legal': [{'className': 'Tax Law', 'classCode... | \n",
+ " [LABOR UNIONS, CITY GOVERNMENT, CITIES, Local ... | \n",
+ " -1 | \n",
+ " | \n",
+ "
\n",
+ " \n",
+ " 4 | \n",
+ " 1669 | \n",
+ " NaN | \n",
+ " CITY WEEKLY; Pg. 1 | \n",
+ " NaN | \n",
+ " Hillary Clinton touts Somerville as a can-do c... | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " Elected officials and regular folks warmly we... | \n",
+ " SOMERVILLE - Hillary Rodham Clinton's visit ... | \n",
+ " ['ENGLISH'] | \n",
+ " ... | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " ,City Edition | \n",
+ " The Boston Globe | \n",
+ " {'month': '10', 'day': '25', 'year': '1998'} | \n",
+ " NaN | \n",
+ " {'legal': [{'className': 'Education Law', 'cla... | \n",
+ " [CITY GOVERNMENT, EDUCATION SYSTEMS & INSTITUT... | \n",
+ " -1 | \n",
+ " | \n",
+ "
\n",
+ " \n",
+ "
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+ "
5 rows × 23 columns
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Unnamed: 0 pub_type position_section \\\n",
+ "0 12862 NaN METRO/REGION; Pg. B2 \n",
+ "1 17795 Newspaper, Newspapers EDITORIAL OPINION \n",
+ "2 1036 NaN METRO/REGION; Pg. B3 \n",
+ "3 13596 NaN METRO/REGION; Pg. 28 \n",
+ "4 1669 NaN CITY WEEKLY; Pg. 1 \n",
+ "\n",
+ " position_subsection hl1 hl2 \\\n",
+ "0 NaN MWRA issues 1st water report; NaN \n",
+ "1 Opinion NaN NaN \n",
+ "2 NaN Curley jury process begins in private; NaN \n",
+ "3 NaN Pols look for that union label; NaN \n",
+ "4 NaN Hillary Clinton touts Somerville as a can-do c... NaN \n",
+ "\n",
+ " author lede \\\n",
+ "0 NaN The Massachusetts Water Resources Authority ha... \n",
+ "1 NaN OBAMA MIDEAST SPEECH ``I guess I'm a little go... \n",
+ "2 NaN Judge Judith A. Cowin yesterday barred report... \n",
+ "3 NaN Touting their connections to labor unions, Cit... \n",
+ "4 NaN Elected officials and regular folks warmly we... \n",
+ "\n",
+ " body language ... \\\n",
+ "0 Locally, just about any level of reporting wou... ['ENGLISH'] ... \n",
+ "1 - JEFFREY GOLDBERG www.theatlantic.com ``Presi... ['ENGLISH'] ... \n",
+ "2 CAMBRIDGE - Jury selection began behind clos... ['ENGLISH'] ... \n",
+ "3 \"I want to be the point man for labor to go to... ['ENGLISH'] ... \n",
+ "4 SOMERVILLE - Hillary Rodham Clinton's visit ... ['ENGLISH'] ... \n",
+ "\n",
+ " volume issue_number edition pub_name \\\n",
+ "0 NaN NaN NaN The Boston Globe \n",
+ "1 NaN NaN NaN The Boston Globe \n",
+ "2 NaN NaN ,City Edition The Boston Globe \n",
+ "3 NaN NaN NaN The Boston Globe \n",
+ "4 NaN NaN ,City Edition The Boston Globe \n",
+ "\n",
+ " pub_date licensor_indexing_terms \\\n",
+ "0 {'month': '08', 'day': '25', 'year': '1996'} NaN \n",
+ "1 {'day': '24', 'month': '05', 'year': '2011'} NaN \n",
+ "2 {'month': '10', 'day': '21', 'year': '1998'} NaN \n",
+ "3 {'month': '09', 'day': '05', 'year': '1995'} NaN \n",
+ "4 {'month': '10', 'day': '25', 'year': '1998'} NaN \n",
+ "\n",
+ " indexing_terms \\\n",
+ "0 {'legal': [{'className': 'Business & Corporate... \n",
+ "1 {'subject': [{'score': '90', 'classCode': 'ST0... \n",
+ "2 {'subject': [{'score': '90', 'classCode': 'STX... \n",
+ "3 {'legal': [{'className': 'Tax Law', 'classCode... \n",
+ "4 {'legal': [{'className': 'Education Law', 'cla... \n",
+ "\n",
+ " possible_topics bertopic_topic_label \\\n",
+ "0 [BACTERIA, COLIFORM BACTERIA, WATER QUALITY, E... 24 \n",
+ "1 [US REPUBLICAN PARTY, US PRESIDENTIAL CANDIDAT... -1 \n",
+ "2 [JURY TRIALS, JURY DUTY, LAWYERS, PETITIONS] -1 \n",
+ "3 [LABOR UNIONS, CITY GOVERNMENT, CITIES, Local ... -1 \n",
+ "4 [CITY GOVERNMENT, EDUCATION SYSTEMS & INSTITUT... -1 \n",
+ "\n",
+ " openai_label \n",
+ "0 Water Contamination \n",
+ "1 \n",
+ "2 \n",
+ "3 \n",
+ "4 \n",
+ "\n",
+ "[5 rows x 23 columns]"
+ ]
+ },
+ "execution_count": 93,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# add possible topics as new column in dataframe\n",
+ "bglobe_sample['possible_topics'] = get_relevant_indexing_terms(bglobe_sample)\n",
+ "bglobe_sample.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# get the bag of words (keywords) for each topic from the bertopic model\n",
+ "topics_df = topic_model.get_topic_info()\n",
+ "word_bags = [\"\"]\n",
+ "for i in range(len(topics_df)):\n",
+ " temp = topic_model.get_topic(i)\n",
+ " try:\n",
+ " words = [x for x,_ in temp]\n",
+ " word_bags.append(words)\n",
+ " except TypeError:\n",
+ " pass\n",
+ "\n",
+ "topics_df[\"Keywords\"] = word_bags"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# use openai api to create a label for the bag of words from bertopic\n",
+ "openai.api_key = \"\"\n",
+ "\n",
+ "# exponential back off - because i kept getting ratelimiterror \n",
+ "from tenacity import (\n",
+ " retry,\n",
+ " stop_after_attempt,\n",
+ " wait_random_exponential,\n",
+ ") # for exponential backoff\n",
+ "\n",
+ "@retry(wait=wait_random_exponential(min=1, max=60), stop=stop_after_attempt(6))\n",
+ "def completion_with_backoff(**kwargs):\n",
+ " return openai.ChatCompletion.create(**kwargs)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# get labels for all bag of words from bertopic\n",
+ "for i in range(len(topics_df)):\n",
+ " labels = topics_df['Keywords'][i]\n",
+ " \n",
+ " # build prompt for openai \n",
+ " formatted_keywords = \", \".join(labels[:-1]) + \", and \" + labels[-1] + \".\\n\"\n",
+ " text_input = \"Please summarize this list of words into one term: \" + formatted_keywords\n",
+ " text_input += \"Please generalize the final term.\\n\"\n",
+ "\n",
+ " # using gpt-3.5-turbo: $0.002/1,000 tokens\n",
+ " # each request is ~150 tokens (including the response from openai)\n",
+ " background_prompt = [{\"role\": \"system\", \"content\": \"You are summarizing a list of words. Be as concise and informative as possible.\"},\n",
+ " {\"role\": \"user\", \"content\": \"Please summarize this list of words into one term: covid, deaths, confirmed, baker, average, numbers, hospitals, dph, weeks, clusters. Please generalize the final term.\"},\n",
+ " {\"role\": \"assistant\", \"content\": \"Public Health\"}]\n",
+ "\n",
+ "\n",
+ " prompt = background_prompt + [{\"role\": \"user\", \"content\": text_input}]\n",
+ "\n",
+ " response = completion_with_backoff(model=\"gpt-3.5-turbo\",\n",
+ " temperature=1, \n",
+ " max_tokens=5,\n",
+ " messages=prompt)\n",
+ "\n",
+ " # save result in json file\n",
+ " with open('open_ai_label.json', 'r+') as f:\n",
+ " # load existing data \n",
+ " file_data = json.load(f)\n",
+ " file_data[int(topics_df['Topic'][i])] = {\"Name\": topics_df['Name'][i],\n",
+ " \"OpenAI_label\": response['choices'][0]['message']['content'],\n",
+ " \"OpenAI_metadata\": response}\n",
+ " \n",
+ " f.seek(0)\n",
+ " # convert back to json\n",
+ " json.dump(file_data, f, indent=4)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 39,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# combine articles with topic labels from open ai \n",
+ "f = open('open_ai_label.json')\n",
+ "openai_labels = json.load(f)\n",
+ "\n",
+ "# add topic number from bertopic to bglobe dataframe in new column\n",
+ "bglobe_sample['bertopic_topic_label'] = topic_model.get_document_info(body)['Topic']\n",
+ "\n",
+ "# add open ai label to bglobe dataframe in new column \n",
+ "label_name = [openai_labels[str(bglobe_sample['bertopic_topic_label'][i])]['OpenAI_label'] \n",
+ " if int(bglobe_sample['bertopic_topic_label'][i]) != -1 else \"\" for i in range(len(bglobe_sample))]\n",
+ "bglobe_sample['openai_label'] = label_name\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 113,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# use boston_herald_test.csv to assign bertopic labels and test the openai labels \n",
+ "# get the relevant lexisnexis indexing terms\n",
+ "test_articles = pd.read_csv(\"boston_herald_test.csv\")\n",
+ "test_articles['possible_topics'] = get_relevant_indexing_terms(test_articles)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 114,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# replace nan body with \"\"\n",
+ "for i in range(len(test_articles)):\n",
+ " if type(test_articles['body'][i]) != str:\n",
+ " test_articles['body'][i] = \"\"\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 130,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# get bertopics for each article\n",
+ "topics, probs = topic_model.transform(test_articles['body'])\n",
+ "test_articles['bertopic_topic_label'] = topics\n",
+ "\n",
+ "# add open ai label to bglobe dataframe in new column \n",
+ "test_label_name = [openai_labels[str(test_articles['bertopic_topic_label'][i])]['OpenAI_label'] \n",
+ " if int(test_articles['bertopic_topic_label'][i]) != -1 else \"\" for i in range(len(test_articles))]\n",
+ "test_articles['openai_label'] = test_label_name"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 132,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
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+ " WOMAN, POLICE, BODY, BRIDGEWATER, BURNED, CRUZ... | \n",
+ " {'subject': [{'score': '90', 'classCode': 'N92... | \n",
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+ " 2 | \n",
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+ " No. 309 | \n",
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+ " 5/11/15 | \n",
+ " FITZPATRICK, MANZIEL, COACH, FISHER, QUARTERBA... | \n",
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+ " The Boston Herald | \n",
+ " 5/11/15 | \n",
+ " NURSE, WALSH, ABINGTON, EILEEN, FUNERAL, ARRAN... | \n",
+ " {'subject': [{'score': '97', 'classCode': 'STX... | \n",
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+ " 4 | \n",
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+ " FIELD HOCKEY Governor's 5, Groton 1 St. Mark's... | \n",
+ " Newton North at Needham, 4 Chelmsford at North... | \n",
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+ " 937 | \n",
+ " ... | \n",
+ " No. 309 | \n",
+ " All Editions | \n",
+ " The Boston Herald | \n",
+ " 5/11/15 | \n",
+ " BISHOP, CATHOLIC, CENTRAL, DIVISION, NORTH, PR... | \n",
+ " {'subject': [{'score': '89', 'classCode': 'ST0... | \n",
+ " [CATHOLICS & CATHOLICISM] | \n",
+ " 436 | \n",
+ " 436 | \n",
+ " Prep Schools. | \n",
+ "
\n",
+ " \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ "
\n",
+ " \n",
+ " 87 | \n",
+ " Newspaper, Newspapers | \n",
+ " NEWS | \n",
+ " Local | \n",
+ " Women make history in Hub and the state | \n",
+ " NaN | \n",
+ " Joyce Ferriabough Bolling | \n",
+ " The post-election story in the media was how t... | \n",
+ " But there was another important story: Boston'... | \n",
+ " ['ENGLISH'] | \n",
+ " 444 | \n",
+ " ... | \n",
+ " No. 309 | \n",
+ " All Editions | \n",
+ " The Boston Herald | \n",
+ " 5/11/15 | \n",
+ " WOMEN, ELECTED, COLOR, COUNCIL, WOMAN, BOSTON,... | \n",
+ " {'legal': [{'className': 'Governments', 'class... | \n",
+ " [CITY GOVERNMENT, CITIES, WOMEN, Local Governm... | \n",
+ " -1 | \n",
+ " -1 | \n",
+ " | \n",
+ "
\n",
+ " \n",
+ " 88 | \n",
+ " Newspaper, Newspapers | \n",
+ " OPINION | \n",
+ " Editorials | \n",
+ " A mayor in reverse | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " Boston Mayor Marty Walsh has learned the hard ... | \n",
+ " Walsh, the city's top cheerleader for a planne... | \n",
+ " ['ENGLISH'] | \n",
+ " 337 | \n",
+ " ... | \n",
+ " No. 309 | \n",
+ " All Editions | \n",
+ " The Boston Herald | \n",
+ " 5/11/15 | \n",
+ " AGREEMENT, BOSTON, EDITOR, EVENT, LEARNED, MAY... | \n",
+ " {'legal': [{'className': 'Governments', 'class... | \n",
+ " [AGREEMENTS, CITY GOVERNMENT, Mayors] | \n",
+ " 137 | \n",
+ " 137 | \n",
+ " Olympic Hosting Bid | \n",
+ "
\n",
+ " \n",
+ " 89 | \n",
+ " Newspaper, Newspapers | \n",
+ " NEWS | \n",
+ " Local | \n",
+ " Fentanyl OD data lagging - in Bay State | \n",
+ " NaN | \n",
+ " MATT STOUT | \n",
+ " As the tide of fentanyl grows in Massachusetts... | \n",
+ " The information gap comes as federal officials... | \n",
+ " ['ENGLISH'] | \n",
+ " 491 | \n",
+ " ... | \n",
+ " No. 309 | \n",
+ " All Editions | \n",
+ " The Boston Herald | \n",
+ " 5/11/15 | \n",
+ " FENTANYL, OFFICIALS, STATE, RELATED, DATA, HEA... | \n",
+ " {'subject': [{'score': '89', 'classCode': 'ST0... | \n",
+ " [HEALTH DEPARTMENTS, HEROIN, PUBLIC HEALTH ADM... | \n",
+ " 55 | \n",
+ " 55 | \n",
+ " Opioid Crisis | \n",
+ "
\n",
+ " \n",
+ " 90 | \n",
+ " Newspaper, Newspapers | \n",
+ " SPORTS | \n",
+ " Basketball-Celtics | \n",
+ " Slow start angers Celts | \n",
+ " In need of quick fix after falling to 1-3 | \n",
+ " STEVE BULPETT | \n",
+ " INDIANAPOLIS - The Celtics have dropped three ... | \n",
+ " 'Something's got to change. I don't know what ... | \n",
+ " ['ENGLISH'] | \n",
+ " 899 | \n",
+ " ... | \n",
+ " No. 309 | \n",
+ " All Editions | \n",
+ " The Boston Herald | \n",
+ " 5/11/15 | \n",
+ " CELTICS, CELTS, BRADLEY, DIDN, GAMES, PACERS, ... | \n",
+ " {'legal': [{'className': 'Criminal Law & Proce... | \n",
+ " [] | \n",
+ " 3 | \n",
+ " 3 | \n",
+ " Basketball | \n",
+ "
\n",
+ " \n",
+ " 91 | \n",
+ " Newspaper, Newspapers | \n",
+ " FEATURES | \n",
+ " Lifestyle | \n",
+ " Make a splash'Find a Way' to stay active as yo... | \n",
+ " Don't let preconceived age limits hold you back | \n",
+ " DIANA NYAD - LOS ANGELES TIMES | \n",
+ " I was 64 when I became the first to swim the 1... | \n",
+ " All of this is true, but I also believe we can... | \n",
+ " ['ENGLISH'] | \n",
+ " 515 | \n",
+ " ... | \n",
+ " No. 309 | \n",
+ " All Editions | \n",
+ " The Boston Herald | \n",
+ " 5/11/15 | \n",
+ " AGE, SPLASH, DIANA, MIDDLE, NYAD, AGING, CUBA,... | \n",
+ " {'subject': [{'score': '54', 'classCode': 'STX... | \n",
+ " [] | \n",
+ " -1 | \n",
+ " 295 | \n",
+ " Wellness Practice. | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
92 rows × 23 columns
\n",
+ "
"
+ ],
+ "text/plain": [
+ " pub_type position_section position_subsection \\\n",
+ "0 Newspaper, Newspapers NEWS Local \n",
+ "1 Newspaper, Newspapers NEWS Local \n",
+ "2 Newspaper, Newspapers SPORTS Football-NFL \n",
+ "3 Newspaper, Newspapers NEWS Obituaries \n",
+ "4 Newspaper, Newspapers SPORTS Agate \n",
+ ".. ... ... ... \n",
+ "87 Newspaper, Newspapers NEWS Local \n",
+ "88 Newspaper, Newspapers OPINION Editorials \n",
+ "89 Newspaper, Newspapers NEWS Local \n",
+ "90 Newspaper, Newspapers SPORTS Basketball-Celtics \n",
+ "91 Newspaper, Newspapers FEATURES Lifestyle \n",
+ "\n",
+ " hl1 \\\n",
+ "0 3-alarm blaze leaves some homeless \n",
+ "1 Bridgewater police seek ID of burned woman's body \n",
+ "2 Fitzpatrick gets thumbs-up to start \n",
+ "3 Eileen Walsh, at 83, - of Abington, a nurse \n",
+ "4 HIGH SCHOOL SCOREBOARD \n",
+ ".. ... \n",
+ "87 Women make history in Hub and the state \n",
+ "88 A mayor in reverse \n",
+ "89 Fentanyl OD data lagging - in Bay State \n",
+ "90 Slow start angers Celts \n",
+ "91 Make a splash'Find a Way' to stay active as yo... \n",
+ "\n",
+ " hl2 \\\n",
+ "0 NaN \n",
+ "1 NaN \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ ".. ... \n",
+ "87 NaN \n",
+ "88 NaN \n",
+ "89 NaN \n",
+ "90 In need of quick fix after falling to 1-3 \n",
+ "91 Don't let preconceived age limits hold you back \n",
+ "\n",
+ " author \\\n",
+ "0 COLNETH SMILEY Jr. \n",
+ "1 BRIAN DOWLING \n",
+ "2 NaN \n",
+ "3 NaN \n",
+ "4 NaN \n",
+ ".. ... \n",
+ "87 Joyce Ferriabough Bolling \n",
+ "88 NaN \n",
+ "89 MATT STOUT \n",
+ "90 STEVE BULPETT \n",
+ "91 DIANA NYAD - LOS ANGELES TIMES \n",
+ "\n",
+ " lede \\\n",
+ "0 A three-alarm blaze at a Quincy apartment buil... \n",
+ "1 Police are asking for the public's help to ide... \n",
+ "2 It's a thumbs-up on Ryan Fitzpatrick starting ... \n",
+ "3 Eileen (Conlon) Walsh of Abington, a nurse, di... \n",
+ "4 FIELD HOCKEY Governor's 5, Groton 1 St. Mark's... \n",
+ ".. ... \n",
+ "87 The post-election story in the media was how t... \n",
+ "88 Boston Mayor Marty Walsh has learned the hard ... \n",
+ "89 As the tide of fentanyl grows in Massachusetts... \n",
+ "90 INDIANAPOLIS - The Celtics have dropped three ... \n",
+ "91 I was 64 when I became the first to swim the 1... \n",
+ "\n",
+ " body language \\\n",
+ "0 Smoke from the fire on Newport Street across f... ['ENGLISH'] \n",
+ "1 The remains of the unidentified woman, whose h... ['ENGLISH'] \n",
+ "2 'No limitations today,' Fitzpatrick said. 'Rea... ['ENGLISH'] \n",
+ "3 She was a nurse at Shattuck and Carney hospita... ['ENGLISH'] \n",
+ "4 Newton North at Needham, 4 Chelmsford at North... ['ENGLISH'] \n",
+ ".. ... ... \n",
+ "87 But there was another important story: Boston'... ['ENGLISH'] \n",
+ "88 Walsh, the city's top cheerleader for a planne... ['ENGLISH'] \n",
+ "89 The information gap comes as federal officials... ['ENGLISH'] \n",
+ "90 'Something's got to change. I don't know what ... ['ENGLISH'] \n",
+ "91 All of this is true, but I also believe we can... ['ENGLISH'] \n",
+ "\n",
+ " word_count ... issue_number edition pub_name pub_date \\\n",
+ "0 158 ... No. 309 All Editions The Boston Herald 5/11/15 \n",
+ "1 201 ... No. 309 All Editions The Boston Herald 5/11/15 \n",
+ "2 514 ... No. 309 All Editions The Boston Herald 5/11/15 \n",
+ "3 111 ... No. 309 All Editions The Boston Herald 5/11/15 \n",
+ "4 937 ... No. 309 All Editions The Boston Herald 5/11/15 \n",
+ ".. ... ... ... ... ... ... \n",
+ "87 444 ... No. 309 All Editions The Boston Herald 5/11/15 \n",
+ "88 337 ... No. 309 All Editions The Boston Herald 5/11/15 \n",
+ "89 491 ... No. 309 All Editions The Boston Herald 5/11/15 \n",
+ "90 899 ... No. 309 All Editions The Boston Herald 5/11/15 \n",
+ "91 515 ... No. 309 All Editions The Boston Herald 5/11/15 \n",
+ "\n",
+ " licensor_indexing_terms \\\n",
+ "0 FIRE, NEWPORT, QUINCY, ALARM, SMOKE, SMYTH, 30... \n",
+ "1 WOMAN, POLICE, BODY, BRIDGEWATER, BURNED, CRUZ... \n",
+ "2 FITZPATRICK, MANZIEL, COACH, FISHER, QUARTERBA... \n",
+ "3 NURSE, WALSH, ABINGTON, EILEEN, FUNERAL, ARRAN... \n",
+ "4 BISHOP, CATHOLIC, CENTRAL, DIVISION, NORTH, PR... \n",
+ ".. ... \n",
+ "87 WOMEN, ELECTED, COLOR, COUNCIL, WOMAN, BOSTON,... \n",
+ "88 AGREEMENT, BOSTON, EDITOR, EVENT, LEARNED, MAY... \n",
+ "89 FENTANYL, OFFICIALS, STATE, RELATED, DATA, HEA... \n",
+ "90 CELTICS, CELTS, BRADLEY, DIDN, GAMES, PACERS, ... \n",
+ "91 AGE, SPLASH, DIANA, MIDDLE, NYAD, AGING, CUBA,... \n",
+ "\n",
+ " indexing_terms \\\n",
+ "0 {'legal': [{'className': 'Governments', 'class... \n",
+ "1 {'subject': [{'score': '90', 'classCode': 'N92... \n",
+ "2 {'legal': [{'className': 'Education Law', 'cla... \n",
+ "3 {'subject': [{'score': '97', 'classCode': 'STX... \n",
+ "4 {'subject': [{'score': '89', 'classCode': 'ST0... \n",
+ ".. ... \n",
+ "87 {'legal': [{'className': 'Governments', 'class... \n",
+ "88 {'legal': [{'className': 'Governments', 'class... \n",
+ "89 {'subject': [{'score': '89', 'classCode': 'ST0... \n",
+ "90 {'legal': [{'className': 'Criminal Law & Proce... \n",
+ "91 {'subject': [{'score': '54', 'classCode': 'STX... \n",
+ "\n",
+ " possible_topics bertopic_topic_label\\t \\\n",
+ "0 [FIRES] 16 \n",
+ "1 [POLICE FORCES] -1 \n",
+ "2 [ATHLETES, AMERICAN FOOTBALL] -1 \n",
+ "3 [DEATHS & OBITUARIES] 4 \n",
+ "4 [CATHOLICS & CATHOLICISM] 436 \n",
+ ".. ... ... \n",
+ "87 [CITY GOVERNMENT, CITIES, WOMEN, Local Governm... -1 \n",
+ "88 [AGREEMENTS, CITY GOVERNMENT, Mayors] 137 \n",
+ "89 [HEALTH DEPARTMENTS, HEROIN, PUBLIC HEALTH ADM... 55 \n",
+ "90 [] 3 \n",
+ "91 [] -1 \n",
+ "\n",
+ " bertopic_topic_label openai_label \n",
+ "0 16 Fire Safety \n",
+ "1 -1 \n",
+ "2 2 Football. \n",
+ "3 4 Personal Life/Obit \n",
+ "4 436 Prep Schools. \n",
+ ".. ... ... \n",
+ "87 -1 \n",
+ "88 137 Olympic Hosting Bid \n",
+ "89 55 Opioid Crisis \n",
+ "90 3 Basketball \n",
+ "91 295 Wellness Practice. \n",
+ "\n",
+ "[92 rows x 23 columns]"
+ ]
+ },
+ "execution_count": 132,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "test_articles"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 133,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "The `multi_class` argument has been deprecated and renamed to `multi_label`. `multi_class` will be removed in a future version of Transformers.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "{'sequence': 'Fire Safety',\n",
+ " 'labels': ['FIRES'],\n",
+ " 'scores': [0.8304260969161987]}"
+ ]
+ },
+ "execution_count": 133,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# remove articles with bertopic label -1 - these are outliers that don't have a label \n",
+ "# to do: look into if it is possible to use bertopic to assign a label to the outliers anyways \n",
+ "\n",
+ "# for now - we will look at articles that have a label other than -1 \n",
+ "test_articles_labeled = test_articles[test_articles['bertopic_topic_label'] != -1]\n",
+ "\n",
+ "# evaluate the similarity between words from lexis nexis and openai label \n",
+ "classifier = pipeline(\"zero-shot-classification\", model=\"facebook/bart-large-mnli\")\n",
+ "sequence_to_classify = test_articles_labeled['openai_label'][0]\n",
+ "candidate_labels = test_articles_labeled['possible_topics'][0]\n",
+ "classifier(sequence_to_classify, candidate_labels, multi_class=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 134,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# attempt at evaluation using bart-mnli zero shot classification \n",
+ "# get the max score from the candidate labels (lexisnexis labels) compared to the openai label\n",
+ "scores = []\n",
+ "for id, row in test_articles.iterrows():\n",
+ " try:\n",
+ " sequence_to_classify = row['openai_label']\n",
+ " candidate_labels = row['possible_topics']\n",
+ " result = classifier(sequence_to_classify, candidate_labels, multi_label=True)\n",
+ " max_score = max(result['scores'])\n",
+ " scores.append(max_score)\n",
+ " except ValueError:\n",
+ " scores.append(\"\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 137,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# add the scores to the test_articles dataframe\n",
+ "test_articles['eval_score'] = scores"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 139,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "test_articles.to_csv(\"eval_output.csv\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# to do - lower threshold for indexing terms if there are none that are above 85 "
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "naacp-bert-topic",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ },
+ "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}