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Semantic-based search using word embedding to help the medical community develop answers to high priority scientific questions using Kaggle's CORD-19 dataset. This repository is part of Kaggle's CORD-19 challenge: https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge

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covid-19 cord-19 cord-19-dataset kaggle-competition kaggle kaggle-dataset coronavirus coronavirus-analysis word-embeddings word2vec search semantics wcs gensim-word2vec gensim spacy spacy-nlp sentence-segmentation nlp-machine-learning

covid19-semantic-based-search's Introduction

Covid19-Semantic-based-Search

Semantic-based search using word embedding to help the medical community develop answers to high priority scientific questions using Kaggle's CORD-19 dataset. This repository is part of Kaggle's CORD-19 challenge

Requirements:

  • IPython: pip install ipython
  • Spacy: pip install spacy
  • Numpy: pip install numpy
  • Pandas: pip install pandas
  • Tqdm: pip install tqdm
  • Gensim: pip install gensim
  • Langdetect: pip install langdetect

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