ETCNN: Extra Tree and Convolutional Neural Network-based Ensemble Model for COVID-19 Tweets Sentiment Classification.

Umer, Muhammad; Sadiq, Saima; Karamti, Hanen; Abdulmajid Eshmawi, Ala'; Nappi, Michele; Usman Sana, Muhammad; Ashraf, Imran

Umer, Muhammad; Sadiq, Saima; Karamti, Hanen; Abdulmajid Eshmawi, Ala'; Nappi, Michele; Usman Sana, Muhammad; Ashraf, Imran.

Afiliación

Umer M; Department of Computer Science & Information Technology, The Islamia University of Bahawalpur, Bahawalpur, 63100, Pakistan.
Sadiq S; Department of Computer Science, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.
Karamti H; Department of computer sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O.Box 84428, Riyadh 11671, Saudi Arabia.
Abdulmajid Eshmawi A; Department of Cybersecurity, University of Jeddah, Saudi Arabia.
Nappi M; Department of Computer Science, University of Salerno, Fisciano, Italy.
Usman Sana M; College of Computer Science Technology, Xian University of Science and Technology, Xian, Shaanxi 710054, China.
Ashraf I; Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Korea.

Pattern Recognit Lett ; 164: 224-231, 2022 Dec.

Article en En | MEDLINE | ID: mdl-36407854

Palabras clave

COVID-19; Ensemble model; Health informatics; Neuroinformatics; Sentiment analysis

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Pattern Recognit Lett Año: 2022 Tipo del documento: Article País de afiliación: Pakistán Pais de publicación: Países Bajos

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