Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/26209
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: A Review of Sentiment Analysis Research in Chinese Language
Author(s): Peng, Haiyun
Cambria, Erik
Hussain, Amir
Contact Email: ahu@cs.stir.ac.uk
Keywords: Sentiment analysis
Chinese sentiment analysis
Issue Date: Aug-2017
Citation: Peng H, Cambria E & Hussain A (2017) A Review of Sentiment Analysis Research in Chinese Language, Cognitive Computation, 9 (4), pp. 423-435.
Abstract: Research on sentiment analysis in English language has undergone major developments in recent years. Chinese sentiment analysis research, however, has not evolved significantly despite the exponential growth of Chinese e-business and e-markets. This review paper aims to study past, present, and future of Chinese sentiment analysis from both monolingual and multilingual perspectives. The constructions of sentiment corpora and lexica are first introduced and summarized. Following, a survey of monolingual sentiment classification in Chinese via three different classification frameworks is conducted. Finally, sentiment classification based on the multilingual approach is introduced. After an overview of the literature, we propose that a more human-like (cognitive) representation of Chinese concepts and their inter-connections could overcome the scarceness of available resources and, hence, improve the state of the art. With the increasing expansion of Chinese language on the Web, sentiment analysis in Chinese is becoming an increasingly important research field. Concept-level sentiment analysis, in particular, is an exciting yet challenging direction for such research field which holds great promise for the future.
DOI Link: http://dx.doi.org/10.1007/s12559-017-9470-8
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