Improving Arabic Sentiment Analysis Using CNN-Based Architectures and Text Preprocessing

Sentiment analysis is an essential process which is important to many natural language applications. In this paper, we apply two models for Arabic sentiment analysis to the ASTD and ATDFS datasets, in both 2-class and multiclass forms. Model MC1 is a 2-layer CNN with global average pooling, followed...

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Detalles Bibliográficos
Autores principales: Mhamed, Mustafa, Sutcliffe, Richard, Sun, Xia, Feng, Jun, Almekhlafi, Eiad, Retta, Ephrem Afele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449738/
https://www.ncbi.nlm.nih.gov/pubmed/34545281
http://dx.doi.org/10.1155/2021/5538791

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449738/
https://www.ncbi.nlm.nih.gov/pubmed/34545281
http://dx.doi.org/10.1155/2021/5538791

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