z-logo
open-access-imgOpen Access
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 -
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) - covid-19 , word (group theory) , computer science , psychology , natural language processing , artificial intelligence , data science , linguistics , medicine , philosophy , disease , pathology , virology , outbreak , infectious disease (medical specialty)

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom