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Predicting Emerging Themes in Rapidly Expanding COVID-19 Literature With Unsupervised Word Embeddings and Machine Learning: Evidence-Based Study
Author(s) -
Ridam Pal,
Harshita Chopra,
Raghav Awasthi,
Harsh Bandhey,
Aditya Nagori,
Tavpritesh Sethi
Publication year - 2022
Publication title -
jmir. journal of medical internet research/journal of medical internet research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.446
H-Index - 142
eISSN - 1439-4456
pISSN - 1438-8871
DOI - 10.2196/34067
Subject(s) - artificial intelligence , computer science , machine learning , trigram , topic model , natural language processing , data science , process (computing) , operating system

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