Open AccessTwitter Arabic Sentiment Analysis to Detect Depression Using Machine Learning
Author(s) -
Dhiaa Musleh,
Taef A. Alkhales,
Reem A. Almakki,
Shahad E. Alnajim,
Shaden K. Almarshad,
Rana S. Alhasaniah,
Sumayh S. Aljameel,
Abdullah A. Almuqhim
Publication year - 2021
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2022.022508
Subject(s) - support vector machine , naive bayes classifier , arabic , random forest , artificial intelligence , computer science , social media , sentiment analysis , feeling , machine learning , adaboost , internet privacy , psychology , natural language processing , world wide web , social psychology , philosophy , linguistics
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