LSTM based model for Named Entity Recognition Task using pytorch and GloVe embeddings
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Updated
Mar 19, 2020 - HTML
LSTM based model for Named Entity Recognition Task using pytorch and GloVe embeddings
Do you love Seinfield and wish it never ended. Check out this repo to create your own Seinfield scipt 🤠 Made with ❤️ in Pytorch. Keep spreading love and laughter and do 🌟 the project. Cheers!
This project uses machine learning to categorize and prioritize airline user tweets based on content and sentiment. The goal is to reduce airlines' workload and provide personalized, empathetic responses to users. By training a sentiment analysis model, airlines can better understand customers' needs and improve their overall service on Twitter.
Patronizing and Condescending Language (PCL) detection: A multi-class classification approach.
BiLSTM model to predict an internal state when given the external state. Also making it into an API and doing stress tests.
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