Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/22725
Title: Corpus construction on polarity shifting in sentiment analysis
Authors: Li, S
Lee, SYM 
Huang, CR 
Issue Date: 2013
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2013, v. 8229 LNAI, p. 625-634
Abstract: Polarity shifting has been a challenge to automatic sentiment classification. In this paper, we create a corpus which consists of polarity-shifted sentences in the product reviews, where both the sentimental words and shifting trigger words are annotated. In particular, we group the polarity-shifted sentence structures into five main categories, i.e., negation, contrastive transition, modality, implication, and irrelevance Evaluation shows the statistics on the agreement of the annotation and the distribution of the five categories of polarity shifting is given.
Publisher: Springer
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
ISBN: 9783642451843
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-642-45185-0_65
Description: 14th Workshop on Chinese Lexical Semantics, CLSW 2013, Zhengzhou, 10-12 May 2013
Appears in Collections:Conference Paper

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