Discovering Correspondence of Sentiment Words and Aspects

Zhiyuan (Brett) Chen
Zhiyuan (Brett) Chen

CICLing, pp. 233-245, 2016.

Cited by: 3|Bibtex|Views7|Links
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Abstract:

Extracting aspects and sentiments is a key problem in sentiment analysis. Existing models rely on joint modeling with supervised aspect and sentiment switching. This paper explores unsupervised models by exploiting a novel angle – correspondence of sentiments with aspects via topic modeling under two views. The idea is to split documents ...More

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