- Reuters document classification : reuters dataset classification with Embedding layer (50) trained from the scratch.
- Patient-drug match by calculating text similarities : using traditional BOW model with gensim similarity to match patient entries with relevant articles
- NLP and pytorch approaches to solve simple NLP tasks
- NLP and pytorch approaches to solve simple NLP tasks
- NLP and pytorch approaches to solve simple NLP tasks
- text generator (Keras) trained on Shakespeare sonnets
-
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NLP tasks, text classification, text similarity calculation, training LSTM with embedding layer, text generation using Keras and LSTM, BOW models, n-gram models, text preprocessing using NLTK and Keras
SayaliPatkar/NLP_projects
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NLP tasks, text classification, text similarity calculation, training LSTM with embedding layer, text generation using Keras and LSTM, BOW models, n-gram models, text preprocessing using NLTK and Keras
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