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Topic Discovery on Farsi, English, French, and Arabic Tweets Related to COVID-19 Using Text Mining Techniques.

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Title: Topic Discovery on Farsi, English, French, and Arabic Tweets Related to COVID-19 Using Text Mining Techniques.
Authors: Jafarian H; Independent Researcher, Vaughan, Canada., Mohammadi M; School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran., Javaheri A; Independent Researcher, Rouen, France., Sukarieh M; Department of Computer Science, Metropolitan College, Boston University, MA, USA., Yoosefi Nejad M; Department of Computer Engineering and Information Technology, Payame Noor University, Tehran, Iran., Sheikhtaheri A; Health Management and Economics Research Center, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran., Hosseinzadeh M; Mental Health Research Center, Psychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran., Momeni-Ortner E; University of Vienna, Vienna, Austria., Rawassizadeh R; Department of Computer Science, Metropolitan College, Boston University, MA, USA.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2021 May 07; Vol. 279, pp. 26-33.
Publication Type: Journal Article
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform
Database: MEDLINE Ultimate
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              Text: 2021 May 07
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