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This repository is created for CS360 - Machine Learning Academic Project. We have built and tested a number of NLP models on Research Paper Dataset to rank the papers based on relevance to question. --Team : Raj S. Jagtap, Raj Hansini Khoiwal, Rajat Kumar Singh, Rahul Baviskar, Kalyani Goyal, Pulaksh Garg.

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COVID-19 Research Paper Ranking using Natural Language Processing

Use:

There are more than 100K research papers published on COVID-19. It is impossible for a human to read all the papers and select the relevant papers.

Hence using NLP we can find ranking of papers based on relevance to a specific question.

Dataset:

The dataset of research papers is available on Kaggle.com

Algorithms Used

  1. GloVe vectors + Cosine Similarity
  2. GloVe vectors + KNN
  3. GloVe vectors + CNN
  4. TF-IDF
  5. Topic Modelling : EDA
  6. BERT : Sentence Transformers
  7. Text Summarisation

Team

  1. Raj S. Jagtap
  2. Raj Hansini Khoiwal
  3. Rajat Kumar Singh
  4. Rahul Baviskar
  5. Kalyani Goyal
  6. Pulaksh Garg

About

This repository is created for CS360 - Machine Learning Academic Project. We have built and tested a number of NLP models on Research Paper Dataset to rank the papers based on relevance to question. --Team : Raj S. Jagtap, Raj Hansini Khoiwal, Rajat Kumar Singh, Rahul Baviskar, Kalyani Goyal, Pulaksh Garg.

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