Corpus construction on polarity shifting in sentiment analysis

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publicationChinese Lexical Semantics - 14th Workshop, CLSW 2013, Revised Selected Papers
Pages625-634
Number of pages10
DOIs
Publication statusPublished - 1 Dec 2013
Event14th Workshop on Chinese Lexical Semantics, CLSW 2013 - Zhengzhou, China
Duration: 10 May 201312 May 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8229 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th Workshop on Chinese Lexical Semantics, CLSW 2013
CountryChina
CityZhengzhou
Period10/05/1312/05/13

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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