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An empirical analysis of lexical polarity and contextual valence shifters for opinion classification
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Abstract:
This work is concerned with the automatic understanding of evaluative text. We investigate sentence level opinion polarity prediction by assigning lexical polarities and deriving sentence polarity from these with the use of contextual valence shifters. A methodology for iterative failure analysis is developed and used to refine our lexicon and identify new contextual shifters. Algorithms are presented that employ these new shifters to improve sentence polarity prediction accuracy beyond that of a state-of-the-art existing algorithm in the domain of consumer product reviews. We then apply the best configuration of our algorithm to the domain of movie reviews.
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Keyword:
Opinion; Polarity; Sentiment analysis
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URL: http://hdl.handle.net/2429/4180
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An empirical analysis of lexical polarity and contextual valence shifters for opinion classification
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Topic-dependent sentiment analysis of financial blogs
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In: O'Hare, Neil, Davy, Michael, Bermingham, Adam, Ferguson, Paul, Sheridan, Páraic, Gurrin, Cathal orcid:0000-0003-4395-7702 and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2009) Topic-dependent sentiment analysis of financial blogs. In: TSA 2009 - 1st International CIKM Workshop on Topic-Sentiment Analysis for Mass Opinion Measurement, 6 November 2009, Hong Kong, China. ISBN 978-1-60558-805-6 (2009)
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Combining social network analysis and sentiment analysis to explore the potential for online radicalisation
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In: Bermingham, Adam, Conway, Maura orcid:0000-0003-4216-8592 , McInerney, Lisa, O'Hare, Neil and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2009) Combining social network analysis and sentiment analysis to explore the potential for online radicalisation. In: ASONAM 2009 - Advances in Social Networks Analysis and Mining, 20-22 July, 2009, Athens, Greece. (2009)
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Automatically Determining Attitude Type and Force for Sentiment Analysis
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In: http://nmis.isti.cnr.it/sebastiani/Publications/LTC07cExtended.pdf (2009)
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OpinionMiner: a novel machine learning system for web opinion mining and extraction
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In: http://www.cedar.buffalo.edu/~rohini/Papers/KDD_Jin.pdf (2009)
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2009) Rethinking sentiment analysis in the news: From theory to practice and back
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In: http://scholar.tdg-seville.info/Resources/Balahur2009.pdf (2009)
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Rethinking Sentiment Analysis in the News: from Theory to Practice and back
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In: http://langtech.jrc.it/Documents/09_WOMSA-WS-Sevilla_Sentiment-Def_printed.pdf (2009)
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The design of OPTIMISM, an opinion mining system for Portuguese politics
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In: http://paginas.fe.up.pt/~niadr/PUBLICATIONS/2009/epia2009-OPTIMISM-submitted.pdf (2009)
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Knowledge transformation for cross-domain sentiment classification
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In: http://users.cis.fiu.edu/~taoli/pub/sigir09-p716-li.pdf (2009)
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Targeting Sentiment Expressions through Supervised Ranking of Linguistic Configurations
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In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 3 No. 1 (2009): Third International AAAI Conference on Weblogs and Social Media ; 2334-0770 ; 2162-3449 (2009)
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Sentiment Classification of Reviews Using SentiWordNet
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In: Conference papers (2009)
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Sentiment Classification of Reviews Using SentiWordNet
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In: 9th. IT & T Conference (2009)
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Machine learning techniques for automatic opinion detection in non-traditional textual genres
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Introducción de un lexicón de opinión orientado al dominio ; Inference of a domain-oriented opinion lexicon
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