Open AccessThe evaluation of Parkinson's disease with sentiment analysis using deep learning methods and word embedding models
Author(s) -
Feyza Çevik,
Zeynep Hilal Kilimci
Publication year - 2021
Publication title -
pamukkale university journal of engineering sciences
Language(s) - English
Resource type - Journals
eISSN - 2147-5881
pISSN - 1300-7009
DOI - 10.5505/pajes.2020.74429
Subject(s) - word embedding , computer science , natural language processing , word (group theory) , artificial intelligence , sentiment analysis , parkinson's disease , embedding , deep learning , disease , linguistics , medicine , philosophy
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