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", + 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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": [ + "
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TopicCountName
0-167888-1_iraq_selectmen_property_child
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2146121_inning_yankees_homer_francona
3234122_brady_parcells_dolphins_kraft
4328853_celtics_ainge_rondo_rivers
............
94294110941_bluestone_amoxicillin_relman_hpv
94394210942_zoltan_elizabet_quints_retinas
94494310943_masstlc_hopcroft_retraining_carbonite
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94694510945_chilean_pinochet_mejía_herrarte
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947 rows × 3 columns

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" + ], + "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": [ + "
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Unnamed: 0pub_typeposition_sectionposition_subsectionhl1hl2authorledebodylanguageword_countcopyrightcontent-idvolumeissue_numbereditionpub_namepub_datelicensor_indexing_termsindexing_terms
012862NaNMETRO/REGION; Pg. B2NaNMWRA issues 1st water report;NaNNaNThe Massachusetts Water Resources Authority ha...Locally, just about any level of reporting wou...['ENGLISH']326.0Copyright 1996 Globe Newspaper CompanyNaNNaNNaNNaNThe Boston Globe{'month': '08', 'day': '25', 'year': '1996'}NaN{'legal': [{'className': 'Business & Corporate...
117795Newspaper, NewspapersEDITORIAL OPINIONOpinionNaNNaNNaNOBAMA MIDEAST SPEECH ``I guess I'm a little go...- JEFFREY GOLDBERG www.theatlantic.com ``Presi...['ENGLISH']363.0Copyright 2011 Globe Newspaper Company All Rig...BGLOBE-G7C1PGAVO.3NaNNaNNaNThe Boston Globe{'day': '24', 'month': '05', 'year': '2011'}NaN{'subject': [{'score': '90', 'classCode': 'ST0...
21036NaNMETRO/REGION; Pg. B3NaNCurley jury process begins in private;NaNNaNJudge Judith A. Cowin yesterday barred report...CAMBRIDGE - Jury selection began behind clos...['ENGLISH']331.0Copyright 1998 Globe Newspaper CompanyNaNNaNNaN,City EditionThe Boston Globe{'month': '10', 'day': '21', 'year': '1998'}NaN{'subject': [{'score': '90', 'classCode': 'STX...
313596NaNMETRO/REGION; Pg. 28NaNPols look for that union label;NaNNaNTouting their connections to labor unions, Cit...\"I want to be the point man for labor to go to...['ENGLISH']614.0Copyright 1995 Globe Newspaper CompanyNaNNaNNaNNaNThe Boston Globe{'month': '09', 'day': '05', 'year': '1995'}NaN{'legal': [{'className': 'Tax Law', 'classCode...
41669NaNCITY WEEKLY; Pg. 1NaNHillary Clinton touts Somerville as a can-do c...NaNNaNElected officials and regular folks warmly we...SOMERVILLE - Hillary Rodham Clinton's visit ...['ENGLISH']842.0Copyright 1998 Globe Newspaper CompanyNaNNaNNaN,City EditionThe Boston Globe{'month': '10', 'day': '25', 'year': '1998'}NaN{'legal': [{'className': 'Education Law', 'cla...
510466NaNEDITORIAL PAGE; Pg. A26NaNRemembering Malcolm X;NaNNaNAt the height of Newt Gingrich's popularity, I...This thought seems to have come from history's...['ENGLISH']330.0Copyright 1997 Globe Newspaper CompanyNaNNaNNaNNaNThe Boston Globe{'month': '06', 'day': '06', 'year': '1997'}NaN{'subject': [{'score': '77', 'classCode': 'ST0...
66011NaNMETRO/REGION; Pg. B14NaNSchool bus crash linked to drinkingNaNNaNFranklin Carrier told police he hadn't been d...LACONIA, N.H. - A man who crashed his car in...['ENGLISH']226.0Copyright 1998 Globe Newspaper CompanyNaNNaNNaN,City EditionThe Boston Globe{'month': '11', 'day': '22', 'year': '1998'}NaN{'subject': [{'score': '90', 'classCode': 'ST0...
719292Newspaper, NewspapersSPORTSNaNRed Sox 7, Indians 4NaNNaNat Fenway Park CLEVELAND AB R H BI BB SO Avg. ...Aviles 2b 5 1 1 0 0 0 .276 Cabrera ss 5 1 3 1 ...['ENGLISH']267.0Copyright 2013 Globe Newspaper Company All Rig...BGLOBE-58872e78-c57f-11e2-9f23-d6f63dfce94aNaNNaNNaNThe Boston Globe{'day': '26', 'month': '05', 'year': '2013'}NaN{'city': [{'score': '90', 'classCode': 'GX567'...
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912189NaNECONOMY; Pg. C1NaNDivided loyalties;NaNNaNTo bankers, it's strictly business. But to oth...\"What we have done for the state of Rhode Isla...['ENGLISH']684.0Copyright 1997 Globe Newspaper CompanyNaNNaNNaNNaNThe Boston Globe{'month': '09', 'day': '26', 'year': '1997'}NaN{'legal': [{'className': 'Business & Corporate...
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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. 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['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... 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DocumentTopicNameTop_n_wordsProbabilityRepresentative_document
0Locally, just about any level of reporting wou...2424_mwra_sewage_dam_devillarsmwra - sewage - dam - devillars - pfas - pcbs ...1.0False
1- JEFFREY GOLDBERG www.theatlantic.com ``Presi...-1-1_iraq_selectmen_property_childiraq - selectmen - property - child - mayor - ...0.0False
2CAMBRIDGE - Jury selection began behind clos...-1-1_iraq_selectmen_property_childiraq - selectmen - property - child - mayor - ...0.0False
3\"I want to be the point man for labor to go to...-1-1_iraq_selectmen_property_childiraq - selectmen - property - child - mayor - ...0.0False
4SOMERVILLE - Hillary Rodham Clinton's visit ...-1-1_iraq_selectmen_property_childiraq - selectmen - property - child - mayor - ...0.0False
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" + ], + "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": [ + "
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Unnamed: 0pub_typeposition_sectionposition_subsectionhl1hl2authorledebodylanguage...volumeissue_numbereditionpub_namepub_datelicensor_indexing_termsindexing_termspossible_topicsbertopic_topic_labelopenai_label
012862NaNMETRO/REGION; Pg. B2NaNMWRA issues 1st water report;NaNNaNThe Massachusetts Water Resources Authority ha...Locally, just about any level of reporting wou...['ENGLISH']...NaNNaNNaNThe Boston Globe{'month': '08', 'day': '25', 'year': '1996'}NaN{'legal': [{'className': 'Business & Corporate...[BACTERIA, COLIFORM BACTERIA, WATER QUALITY, E...24Water Contamination
117795Newspaper, NewspapersEDITORIAL OPINIONOpinionNaNNaNNaNOBAMA MIDEAST SPEECH ``I guess I'm a little go...- JEFFREY GOLDBERG www.theatlantic.com ``Presi...['ENGLISH']...NaNNaNNaNThe Boston Globe{'day': '24', 'month': '05', 'year': '2011'}NaN{'subject': [{'score': '90', 'classCode': 'ST0...[US REPUBLICAN PARTY, US PRESIDENTIAL CANDIDAT...-1
21036NaNMETRO/REGION; Pg. B3NaNCurley jury process begins in private;NaNNaNJudge Judith A. Cowin yesterday barred report...CAMBRIDGE - Jury selection began behind clos...['ENGLISH']...NaNNaN,City EditionThe Boston Globe{'month': '10', 'day': '21', 'year': '1998'}NaN{'subject': [{'score': '90', 'classCode': 'STX...[JURY TRIALS, JURY DUTY, LAWYERS, PETITIONS]-1
313596NaNMETRO/REGION; Pg. 28NaNPols look for that union label;NaNNaNTouting their connections to labor unions, Cit...\"I want to be the point man for labor to go to...['ENGLISH']...NaNNaNNaNThe Boston Globe{'month': '09', 'day': '05', 'year': '1995'}NaN{'legal': [{'className': 'Tax Law', 'classCode...[LABOR UNIONS, CITY GOVERNMENT, CITIES, Local ...-1
41669NaNCITY WEEKLY; Pg. 1NaNHillary Clinton touts Somerville as a can-do c...NaNNaNElected officials and regular folks warmly we...SOMERVILLE - Hillary Rodham Clinton's visit ...['ENGLISH']...NaNNaN,City EditionThe Boston Globe{'month': '10', 'day': '25', 'year': '1998'}NaN{'legal': [{'className': 'Education Law', 'cla...[CITY GOVERNMENT, EDUCATION SYSTEMS & INSTITUT...-1
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" + ], + "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": { + "text/html": [ + "
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pub_typeposition_sectionposition_subsectionhl1hl2authorledebodylanguageword_count...issue_numbereditionpub_namepub_datelicensor_indexing_termsindexing_termspossible_topicsbertopic_topic_label\\tbertopic_topic_labelopenai_label
0Newspaper, NewspapersNEWSLocal3-alarm blaze leaves some homelessNaNCOLNETH SMILEY Jr.A three-alarm blaze at a Quincy apartment buil...Smoke from the fire on Newport Street across f...['ENGLISH']158...No. 309All EditionsThe Boston Herald5/11/15FIRE, NEWPORT, QUINCY, ALARM, SMOKE, SMYTH, 30...{'legal': [{'className': 'Governments', 'class...[FIRES]1616Fire Safety
1Newspaper, NewspapersNEWSLocalBridgewater police seek ID of burned woman's bodyNaNBRIAN DOWLINGPolice are asking for the public's help to ide...The remains of the unidentified woman, whose h...['ENGLISH']201...No. 309All EditionsThe Boston Herald5/11/15WOMAN, POLICE, BODY, BRIDGEWATER, BURNED, CRUZ...{'subject': [{'score': '90', 'classCode': 'N92...[POLICE FORCES]-1-1
2Newspaper, NewspapersSPORTSFootball-NFLFitzpatrick gets thumbs-up to startNaNNaNIt's a thumbs-up on Ryan Fitzpatrick starting ...'No limitations today,' Fitzpatrick said. 'Rea...['ENGLISH']514...No. 309All EditionsThe Boston Herald5/11/15FITZPATRICK, MANZIEL, COACH, FISHER, QUARTERBA...{'legal': [{'className': 'Education Law', 'cla...[ATHLETES, AMERICAN FOOTBALL]-12Football.
3Newspaper, NewspapersNEWSObituariesEileen Walsh, at 83, - of Abington, a nurseNaNNaNEileen (Conlon) Walsh of Abington, a nurse, di...She was a nurse at Shattuck and Carney hospita...['ENGLISH']111...No. 309All EditionsThe Boston Herald5/11/15NURSE, WALSH, ABINGTON, EILEEN, FUNERAL, ARRAN...{'subject': [{'score': '97', 'classCode': 'STX...[DEATHS & OBITUARIES]44Personal Life/Obit
4Newspaper, NewspapersSPORTSAgateHIGH SCHOOL SCOREBOARDNaNNaNFIELD HOCKEY Governor's 5, Groton 1 St. Mark's...Newton North at Needham, 4 Chelmsford at North...['ENGLISH']937...No. 309All EditionsThe Boston Herald5/11/15BISHOP, CATHOLIC, CENTRAL, DIVISION, NORTH, PR...{'subject': [{'score': '89', 'classCode': 'ST0...[CATHOLICS & CATHOLICISM]436436Prep Schools.
..................................................................
87Newspaper, NewspapersNEWSLocalWomen make history in Hub and the stateNaNJoyce Ferriabough BollingThe post-election story in the media was how t...But there was another important story: Boston'...['ENGLISH']444...No. 309All EditionsThe Boston Herald5/11/15WOMEN, ELECTED, COLOR, COUNCIL, WOMAN, BOSTON,...{'legal': [{'className': 'Governments', 'class...[CITY GOVERNMENT, CITIES, WOMEN, Local Governm...-1-1
88Newspaper, NewspapersOPINIONEditorialsA mayor in reverseNaNNaNBoston Mayor Marty Walsh has learned the hard ...Walsh, the city's top cheerleader for a planne...['ENGLISH']337...No. 309All EditionsThe Boston Herald5/11/15AGREEMENT, BOSTON, EDITOR, EVENT, LEARNED, MAY...{'legal': [{'className': 'Governments', 'class...[AGREEMENTS, CITY GOVERNMENT, Mayors]137137Olympic Hosting Bid
89Newspaper, NewspapersNEWSLocalFentanyl OD data lagging - in Bay StateNaNMATT STOUTAs the tide of fentanyl grows in Massachusetts...The information gap comes as federal officials...['ENGLISH']491...No. 309All EditionsThe Boston Herald5/11/15FENTANYL, OFFICIALS, STATE, RELATED, DATA, HEA...{'subject': [{'score': '89', 'classCode': 'ST0...[HEALTH DEPARTMENTS, HEROIN, PUBLIC HEALTH ADM...5555Opioid Crisis
90Newspaper, NewspapersSPORTSBasketball-CelticsSlow start angers CeltsIn need of quick fix after falling to 1-3STEVE BULPETTINDIANAPOLIS - The Celtics have dropped three ...'Something's got to change. I don't know what ...['ENGLISH']899...No. 309All EditionsThe Boston Herald5/11/15CELTICS, CELTS, BRADLEY, DIDN, GAMES, PACERS, ...{'legal': [{'className': 'Criminal Law & Proce...[]33Basketball
91Newspaper, NewspapersFEATURESLifestyleMake a splash'Find a Way' to stay active as yo...Don't let preconceived age limits hold you backDIANA NYAD - LOS ANGELES TIMESI was 64 when I became the first to swim the 1...All of this is true, but I also believe we can...['ENGLISH']515...No. 309All EditionsThe Boston Herald5/11/15AGE, SPLASH, DIANA, MIDDLE, NYAD, AGING, CUBA,...{'subject': [{'score': '54', 'classCode': 'STX...[]-1295Wellness Practice.
\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 +}