theamrzaki/COVID-19-BERT-ResearchPapers-Semantic-Search

BERT semantic search engine for searching literature research papers for coronavirus covid-19 in google colab

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Emerging

This tool helps researchers quickly find relevant information within a vast collection of COVID-19 research papers. You input a search query in plain language, and it provides a list of papers most semantically similar to your query, rather than just matching keywords. This is ideal for medical researchers, scientists, or public health professionals navigating coronavirus literature.

No commits in the last 6 months.

Use this if you need to efficiently discover highly relevant scientific literature on COVID-19 by searching for concepts and ideas, not just exact keywords.

Not ideal if you need to search a broader range of scientific topics beyond COVID-19 or if you prefer a traditional keyword-based search engine.

COVID-19 research literature review medical research semantic search public health
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 19 / 25

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31

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Language

Jupyter Notebook

License

Last pushed

Apr 13, 2020

Commits (30d)

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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/theamrzaki/COVID-19-BERT-ResearchPapers-Semantic-Search"

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