NDLI: Chinese text sentiment orientation identification based on Chinese-characters

Content Provider	IEEE Xplore Digital Library
Author	Qiujun Lan Weikang Li Wenxing Liu
Copyright Year	2015
Description	Author affiliation: Bus. Sch., Hunan Univ., Changsha, China (Qiujun Lan; Weikang Li; Wenxing Liu)
Abstract	Existing sentiment identification technologies for Chinese texts are mostly based on Chinese words/phrases. However, we notice that Chinese characters are ideogram and many of them contain rich sentiment information. Hence, a Chinese text sentiment orientation identification model based on Chinese characters but not words or phrases is proposed in this paper. Contrasting to existent models, our model has many advantages such as no necessary of dictionaries, words segmentation and stop-words removal. Moreover, its dimension of feature vector is lower and its processing efficiency is higher. Experiments show that our model greatly simplifies the identification process and improves the computational efficiency at very little loss of accuracy.
Starting Page	663
Ending Page	668
File Size	190399
Page Count	6
File Format	PDF
e-ISBN	9781467376822
DOI	10.1109/FSKD.2015.7382021
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Sentiment analysis Sentiment Orientation Identification Chinese Character Dictionaries Computational modeling Decision making Natural Language Processing Internet
Content Type	Text
Resource Type	Article

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