OpinMiner: Extracting Feature-Opinion Pairs with Dependency Grammar from Chinese Product Reviews

Jiao, Fuzeng; Dong, Guoqing; Li, Qiuyan; Zhu, Jie

doi:10.1109/wisa.2012.28

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2014

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“…Zhai et al [15] presented an unsupervised approach to identify people's opinions on topics and their aspects (the so called evaluative opinions) by proposing several rules. Jiao et al [6] employed Chinese dependency grammar to set several rules for extracting candidate feature-opinion word pairs.…”

Section: Related Workmentioning

confidence: 99%

Incorporating Language Patterns and Domain Knowledge into Feature-Opinion Extraction

Zhou

Luo

Qin

2014

Text, Speech and Dialogue

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Abstract. We present a hybrid method for aspect-based sentiment analysis of Chinese restaurant reviews. Two main components are employed so as to extract feature-opinion pairs in the proposed method: domain independent language patterns found in Chinese and a lexical base built for restaurant reviews. The language patterns focus on the general knowledge which is implicit contained in Chinese, thus can be used directly by other domains without any modification. The lexical base, on the other hand, targets for particular characteristics of a given domain and acts as a plug-in part in our prototype system, thus does not affect the portability when applying the proposed approach in practice. Empirical evaluation shows that our method performs well and it can gain a progressive result when each component takes into effective.

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Section: Related Workmentioning

confidence: 99%