Source Code, data, and results for my paper titled Linguistic Knowledge in Data Augmentation for Natural Language Processing: An Example on Chinese Question Matching.
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Sep 5, 2022 - Jupyter Notebook
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question-matching
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SoftSVM implementation
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Sep 24, 2018 - Jupyter Notebook
Enhance aims to resolve the subject of mental issues among individuals by offering a secure, anonymous environment. Any person can freely discuss his/her problem with other individuals suffering from the same issue with qualified counsellors who can provide solutions to their problems.
react nodejs flask mongodb reactjs expressjs semantic-similarity flutter depression abuse-detection anxiety question-matching
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Mar 15, 2021
Three different methods namely TFIDF, word average embedding method and inverse document frequency method were used to build a text matching system. The systems were tested on the first 100 questions which were duplicate. A maximum accuracy score of 77% and 67% in top5 and top 2 matches was obtained using average word model.
word-embeddings tf-idf nlp-machine-learning text-matching sentence-embeddings text-preprocessing question-matching
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Aug 27, 2021 - Jupyter Notebook
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