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A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis.
Rustam, Furqan; Khalid, Madiha; Aslam, Waqar; Rupapara, Vaibhav; Mehmood, Arif; Choi, Gyu Sang.
Affiliation
  • Rustam F; Department of Computer Science, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.
  • Khalid M; Department of Computer Science, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.
  • Aslam W; Department of Computer Science & Information Technology, The Islamia University of Bahawalpur, Bahawalpur, Punjab, Pakistan.
  • Rupapara V; School of Computing and Information Sciences Florida International University, Miami, FL, United States of America.
  • Mehmood A; Department of Computer Science & Information Technology, The Islamia University of Bahawalpur, Bahawalpur, Punjab, Pakistan.
  • Choi GS; Department of Information & Communication Engineering, Yeungnam University, Gyeongsan, Gyeongbuk, Korea.
PLoS One ; 16(2): e0245909, 2021.
Article in En | MEDLINE | ID: mdl-33630869
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Social Media / Supervised Machine Learning / COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2021 Document type: Article Affiliation country: Pakistán Country of publication: Estados Unidos
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Social Media / Supervised Machine Learning / COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2021 Document type: Article Affiliation country: Pakistán Country of publication: Estados Unidos