GitHub - KartikeyBartwal/Natural-Language-Processing-Techniques-For-Depression-Diagnosis: Trained on thousands of reddit posts, the aim of this project is to build a natural language processing classifier which takes a person's text data as input and determines if the person is suffering from the ailment of depression or not.

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Trained on thousands of reddit posts, the aim of this project is to build a natural language processing classifier which takes a person's text data as input and determines if the person is suffering from the ailment of depression or not.

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Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
.ipynb_checkpoints		.ipynb_checkpoints
JamSpell		JamSpell
my_dir/my_lstm		my_dir/my_lstm
Depressing Research Workflow.png		Depressing Research Workflow.png
Readme.md		Readme.md
Reddit Dataset Model Building (Stemming + Count Vectorization).ipynb		Reddit Dataset Model Building (Stemming + Count Vectorization).ipynb
Test the model with real life applications.ipynb		Test the model with real life applications.ipynb
all emojis.csv		all emojis.csv
b_depressed.csv		b_depressed.csv
depressive_tweets_processed.csv		depressive_tweets_processed.csv
preprocessed reddit dataset		preprocessed reddit dataset
random_forest_model.pkl		random_forest_model.pkl
reddit dataset.csv		reddit dataset.csv