GitHub - Kartikey-Bartwal/Depression-Classifier: 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. Although there are plenty of heuristic approaches such as taking into account the number of + and

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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. Although there are plenty of heuristic approaches such as taking into account the number of + and - words

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.ipynb_checkpoints		.ipynb_checkpoints
Depression Classifier Web App		Depression Classifier Web App
JamSpell		JamSpell
my_dir/my_lstm		my_dir/my_lstm
Reddit Dataset Model Building (Stemming + POS tagging + Count Vectorization + cum 2-gram cum 3-gram cum 4-gram)-Copy1.ipynb		Reddit Dataset Model Building (Stemming + POS tagging + Count Vectorization + cum 2-gram cum 3-gram cum 4-gram)-Copy1.ipynb
Reddit Dataset Model Building (Stemming + POS tagging + Count Vectorization + cum 2-gram cum 3-gram cum 4-gram).ipynb		Reddit Dataset Model Building (Stemming + POS tagging + Count Vectorization + cum 2-gram cum 3-gram cum 4-gram).ipynb
Reddit Dataset Model Building (Stemming + BOW)-Copy1.ipynb		Reddit Dataset Model Building (Stemming + BOW)-Copy1.ipynb
Reddit Dataset Model Building (Stemming + BOW)-Copy2.ipynb		Reddit Dataset Model Building (Stemming + BOW)-Copy2.ipynb
Reddit Dataset Model Building (Stemming + BOW)-Copy3.ipynb		Reddit Dataset Model Building (Stemming + BOW)-Copy3.ipynb
Reddit Dataset Model Building (Stemming + Count Vectorization)-Copy1.ipynb		Reddit Dataset Model Building (Stemming + Count Vectorization)-Copy1.ipynb
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
Untitled.ipynb		Untitled.ipynb
Untitled1.ipynb		Untitled1.ipynb
Untitled2.ipynb		Untitled2.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