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Subjectivity word sense disambiguation

Authors:

Rada MihalceaAuthors Info & Claims

EMNLP '09: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1

Pages 190 - 199

Published: 06 August 2009 Publication History

Abstract

This paper investigates a new task, subjectivity word sense disambiguation (SWSD), which is to automatically determine which word instances in a corpus are being used with subjective senses, and which are being used with objective senses. We provide empirical evidence that SWSD is more feasible than full word sense disambiguation, and that it can be exploited to improve the performance of contextual subjectivity and sentiment analysis systems.

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Cited By

Wang X(2019)Using Sentiment Analysis for Comparing Attitudes between Computer Professionals and Laypersons on the Topic of Artificial IntelligenceProceedings of the 2019 3rd International Conference on Natural Language Processing and Information Retrieval10.1145/3342827.3342829(5-8)Online publication date: 28-Jun-2019
https://dl.acm.org/doi/10.1145/3342827.3342829
Dietz LWang ZHuston SCroft WHe QIyengar ANejdl WPei JRastogi R(2013)Retrieving opinions from discussion forumsProceedings of the 22nd ACM international conference on Information & Knowledge Management10.1145/2505515.2507861(1225-1228)Online publication date: 27-Oct-2013
https://dl.acm.org/doi/10.1145/2505515.2507861
Su YLi S(2012)Constructing chinese sentiment lexicon using bilingual informationProceedings of the 13th Chinese conference on Chinese Lexical Semantics10.1007/978-3-642-36337-5_33(322-331)Online publication date: 6-Jul-2012
https://dl.acm.org/doi/10.1007/978-3-642-36337-5_33
Show More Cited By

Index Terms

Subjectivity word sense disambiguation
1. Applied computing
  1. Document management and text processing
2. Computing methodologies

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Information & Contributors

Information

Published In

cover image DL Hosted proceedings

EMNLP '09: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1

August 2009

505 pages

ISBN:9781932432596

Program Chairs:
Philipp Koehn
University of Edinburgh
,
Rada Mihalcea
University of North Texas

Publisher

Association for Computational Linguistics

United States

Publication History

Published: 06 August 2009

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Overall Acceptance Rate 73 of 234 submissions, 31%

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Citations

Cited By

Wang X(2019)Using Sentiment Analysis for Comparing Attitudes between Computer Professionals and Laypersons on the Topic of Artificial IntelligenceProceedings of the 2019 3rd International Conference on Natural Language Processing and Information Retrieval10.1145/3342827.3342829(5-8)Online publication date: 28-Jun-2019
https://dl.acm.org/doi/10.1145/3342827.3342829
Dietz LWang ZHuston SCroft WHe QIyengar ANejdl WPei JRastogi R(2013)Retrieving opinions from discussion forumsProceedings of the 22nd ACM international conference on Information & Knowledge Management10.1145/2505515.2507861(1225-1228)Online publication date: 27-Oct-2013
https://dl.acm.org/doi/10.1145/2505515.2507861
Su YLi S(2012)Constructing chinese sentiment lexicon using bilingual informationProceedings of the 13th Chinese conference on Chinese Lexical Semantics10.1007/978-3-642-36337-5_33(322-331)Online publication date: 6-Jul-2012
https://dl.acm.org/doi/10.1007/978-3-642-36337-5_33
Wang XFu G(2012)Learning lexical subjectivity strength for chinese opinionated sentence identificationProceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I10.1007/978-3-642-28604-9_47(580-590)Online publication date: 11-Mar-2012
https://dl.acm.org/doi/10.1007/978-3-642-28604-9_47
Balamurali AJoshi ABhattacharyya PMerlo PBarzilay RJohnson M(2011)Harnessing WordNet senses for supervised sentiment classificationProceedings of the Conference on Empirical Methods in Natural Language Processing10.5555/2145432.2145548(1081-1091)Online publication date: 27-Jul-2011
https://dl.acm.org/doi/10.5555/2145432.2145548
Balamurali AJoshi ABhattacharyya PBalahur ABoldrini EMontoyo AMartínez-Barco P(2011)Robust sense-based sentiment classificationProceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis10.5555/2107653.2107670(132-138)Online publication date: 24-Jun-2011
https://dl.acm.org/doi/10.5555/2107653.2107670
Akkaya CWiebe JConrad AMihalcea RGoldwater SManning C(2011)Improving the impact of subjectivity word sense disambiguation on contextual opinion analysisProceedings of the Fifteenth Conference on Computational Natural Language Learning10.5555/2018936.2018947(87-96)Online publication date: 23-Jun-2011
https://dl.acm.org/doi/10.5555/2018936.2018947
Wilks YCatizone RWorgan SDingli AMoore RField DCheng W(2011)A prototype for a conversational companion for reminiscing about imagesComputer Speech and Language10.1016/j.csl.2010.04.00225:2(140-157)Online publication date: 1-Apr-2011
https://dl.acm.org/doi/10.1016/j.csl.2010.04.002
Davidov DTsur ORappoport AJoshi AHuang CJurafsky D(2010)Enhanced sentiment learning using Twitter hashtags and smileysProceedings of the 23rd International Conference on Computational Linguistics: Posters10.5555/1944566.1944594(241-249)Online publication date: 23-Aug-2010
https://dl.acm.org/doi/10.5555/1944566.1944594
Akkaya CConrad AWiebe JMihalcea RCallison-Burch CDredze M(2010)Amazon Mechanical Turk for subjectivity word sense disambiguationProceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk10.5555/1866696.1866727(195-203)Online publication date: 6-Jun-2010
https://dl.acm.org/doi/10.5555/1866696.1866727
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