Mining Chinese polarity shifters

0Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In sentiment analysis, polarity shifting means to shift the polarity of a sentiment clue. Compared with other natural language processing (NLP) tasks, to extract polarity shifters (polarity shifting patterns) in corpora is a challenging one, since the polarity shifters sometimes are very subtle, which often invalidates fully automatic approaches. In this paper, aiming to extract polarity shifters that invert or attenuate polarity, we use a semi-automatic approach based on pattern mining. The approach can greatly reduce the human annotating cost and cover as many polarity shifters as possible. We tested this approach on domain corpora, and encouraging experimental results are reported.

Cite

CITATION STYLE

APA

Xu, G., & Huang, C. (2015). Mining Chinese polarity shifters. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9332, pp. 244–251). Springer Verlag. https://doi.org/10.1007/978-3-319-27194-1_25

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free