Modified framework for sarcasm detection and classification in sentiment analysis

Sentiment analysis is directed at identifying people's opinions, beliefs, views and emotions in the context of the entities and attributes that appear in text. The presence of sarcasm, however, can significantly hamper sentiment analysis. In this paper a sentiment classification framework is pr...

詳細記述

保存先:
書誌詳細
主要な著者: Mohd Suhairi Md Suhaimin, Mohd Hanafi Ahmad Hijazi, Rayner Alfred, Frans Coenen
フォーマット: 論文
言語:English
English
出版事項: Institute of Advanced Engineering and Science (IAES) 2018
主題:
オンライン・アクセス:https://eprints.ums.edu.my/id/eprint/30046/1/Modified%20framework%20for%20sarcasm%20detection%20and%20classification%20in%20sentiment%20analysis-Abstract.pdf
https://eprints.ums.edu.my/id/eprint/30046/2/Modified%20framework%20for%20sarcasm%20detection%20and%20classification%20in%20sentiment%20analysis.pdf
https://eprints.ums.edu.my/id/eprint/30046/
http://ijeecs.iaescore.com/index.php/IJEECS/article/view/17000
https://doi.org/10.11591/ijeecs.v13.i3.pp1175-1183
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