Evaluating aspect-based sentiment classification on Twitter hate speech using neural networks and word embedding features

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Evaluating aspect-based sentiment classification on Twitter hate speech using neural networks and word embedding features

In this paper, a neural network is proposed to analyse Twitter sentiment classification for the Twitter domain. The study examines and evaluates the performance of neural networks with word embedding features in Twitter sentiment classification. Four benchmark datasets were used to represent differe...

書目詳細資料
發表在:	Frontiers in Artificial Intelligence and Applications
主要作者:	Zainuddin N.; Selamat A.; Ibrahim R.
格式:	Conference paper
語言:	English
出版:	IOS Press BV 2018
在線閱讀:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063377228&doi=10.3233%2f978-1-61499-900-3-723&partnerID=40&md5=06b19da482304287abdd18fe2e76983a

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