soumyajit4419/AI_For_Social_Good
Using natural language processing to analyze the sentiments of people and detect suicidal ideation on online social content.
Implements dual classification approaches—Random Forest with TF-IDF vectorization (96% accuracy) and Bidirectional LSTM with GloVe embeddings (97% accuracy)—trained on curated datasets from Reddit subreddits and keyword-filtered Twitter posts. Includes data collection pipelines, preprocessing utilities, and pretrained model artifacts. Deploys via Flask for real-time inference on user-submitted text.
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45
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18
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 12, 2021
Commits (30d)
0
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