Detecting sarcasm in multi-domain datasets using convolutional neural networks and long short term memory network model.

Jamil, Ramish; Ashraf, Imran; Rustam, Furqan; Saad, Eysha; Mehmood, Arif; Choi, Gyu Sang

Jamil, Ramish; Ashraf, Imran; Rustam, Furqan; Saad, Eysha; Mehmood, Arif; Choi, Gyu Sang.

Afiliação

Jamil R; Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.
Ashraf I; Information and Communication Engineering, Yeungnam University, Gyeongsan si, Daegu, South Korea.
Rustam F; Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.
Saad E; Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.
Mehmood A; The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Choi GS; Information and Communication Engineering, Yeungnam University, Gyeongsan si, Daegu, South Korea.

PeerJ Comput Sci ; 7: e645, 2021.

Article em En | MEDLINE | ID: mdl-34541306

Palavras-chave

Convolutional neural networks; Long short term memory network; Multi-domain sarcastic comments; Sarcasm detection; Social media

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: PeerJ Comput Sci Ano de publicação: 2021 Tipo de documento: Article

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