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Lexicon-Based Methods for Sentiment Analysis - Simon Fraser ...

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Computational Linguistics Volume 37, Number 2<br />

Computational Linguistics, pages 701–709,<br />

Singapore.<br />

Dave, Kushal, Steve Lawrence, and David M.<br />

Pennock. 2003. Mining the peanut gallery:<br />

Opinion extraction and semantic<br />

classification of product reviews. In<br />

Proceedings of the Twelfth International<br />

World Wide Web Conference (WWW 2003),<br />

pages 519–528, Budapest.<br />

Devitt, Ann and Khurshid Ahmad. 2007.<br />

<strong>Sentiment</strong> polarity identification in<br />

financial news: A cohesion-based<br />

approach. In Proceedings of the 45th Annual<br />

Meeting of the Association <strong>for</strong> Computational<br />

Linguistics, pages 984–991, Prague.<br />

Esuli, Andrea and Fabrizio Sebastiani.<br />

2006. SentiWordNet: A publicly available<br />

lexical resource <strong>for</strong> opinion mining. In<br />

Proceedings of 5th International Conference on<br />

Language Resources and Evaluation (LREC),<br />

pages 417–422, Genoa.<br />

Fellbaum, Christiane, editor. 1998. WordNet:<br />

An Electronic Lexical Database. MIT Press,<br />

Cambridge, MA.<br />

Finn, Aidan and Nicholas Kushmerick. 2003.<br />

Learning to classify documents according<br />

to genre. In Proceedings of IJCAI Workshop<br />

on Computational Approaches to Text Style<br />

and Synthesis,Acapulco.<br />

Fletcher, Jeremy and Jon Patrick. 2005.<br />

Evaluating the utility of appraisal<br />

hierarchies as a method <strong>for</strong> sentiment<br />

classification. In Proceedings of the<br />

Australasian Language Technology<br />

Workshop, pages 134–142, Sydney.<br />

Giannakidou, Anastasia. 1998. Polarity<br />

Sensitivity as (Non)Veridical Dependency.<br />

John Benjamins, Amsterdam and<br />

Philadelphia.<br />

Giannakidou, Anastasia. 2001. Varieties of<br />

polarity items and the (non)veridicality<br />

hypothesis. In Ton van der Wouden,<br />

editor, Perspectives on Negation and Polarity<br />

Items. John Benjamins, Amsterdam and<br />

Philadelphia, pages 99–127.<br />

Goldberg, Andrew B. and Xiaojin Zhu. 2006.<br />

Seeing stars when there aren’t many stars:<br />

Graph-based semi-supervised learning <strong>for</strong><br />

sentiment categorization. In Proceedings of<br />

HLT-NAACL 2006 Workshop on Textgraphs:<br />

Graph-based Algorithms <strong>for</strong> Natural Language<br />

Processing, pages 45–52, New York.<br />

Greenberg, Joseph H. 1966. Language<br />

Universals, with Special Reference to Feature<br />

Hierarchies. Mouton, The Hague.<br />

Greene, Stephan and Philip Resnik. 2009.<br />

More than words: Syntactic packaging<br />

and implicit sentiment. In Proceedings of<br />

Human Language Technologies: The 2009<br />

304<br />

Annual Conference of the North American<br />

Chapter of the ACL, pages 503–511,<br />

Boulder, CO.<br />

Halliday, Michael A. K. 1985. An Introduction<br />

to Functional Grammar. Arnold, London,<br />

1st edition.<br />

Hatzivassiloglou, Vasileios and Kathleen<br />

McKeown. 1997. Predicting the semantic<br />

orientation of adjectives. In Proceedings<br />

of 35th Meeting of the Association <strong>for</strong><br />

Computational Linguistics, pages 174–181,<br />

Madrid.<br />

Horn, Laurence R. 1989. A Natural History of<br />

Negation. University of Chicago Press,<br />

Chicago, IL.<br />

Hu, Minqing and Bing Liu. 2004. Mining<br />

and summarizing customer reviews.<br />

In Proceedings of the ACM SIGKDD<br />

International Conference on Knowledge<br />

Discovery and Data Mining (KDD-2004),<br />

pages 168–177, Seattle, WA.<br />

Jing-Schmidt, Zhuo. 2007. Negativity bias in<br />

language: A cognitive-affective model of<br />

emotive intensifiers. Cognitive Linguistics,<br />

18(3):417–443.<br />

Kennedy, Alistair and Diana Inkpen. 2006.<br />

<strong>Sentiment</strong> classification of movie and<br />

product reviews using contextual valence<br />

shifters. Computational Intelligence,<br />

22(2):110–125.<br />

Ketal, R. 1975. Affect, mood, emotion, and<br />

feeling: Semantic considerations. American<br />

Journal of Psychiatry, 132:1215–1217.<br />

Kilgarriff, Adam. 2007. Googleology is<br />

bad science. Computational Linguistics,<br />

33(1):147–151.<br />

Kim, Soo-Min and Eduard Hovy. 2004.<br />

Determining the sentiment of opinions.<br />

In Proceedings of COLING 2004,<br />

pages 1367–1373, Geneva.<br />

Koppel, Moshe and Jonathan Schler. 2005.<br />

Using neutral examples <strong>for</strong> learning<br />

polarity. In Proceedings of IJCAI 2005,<br />

pages 1616–1617, Edinburgh.<br />

Langacker, Ronald W. 1985. Observations<br />

and speculations on subjectivity. In John<br />

Haiman, editor, Iconicity in Syntax. John<br />

Benjamins, Amsterdam and Philadelphia,<br />

pages 109–150.<br />

Li, Shoushan, Chu-Ren Huang, Guodong<br />

Zhou, and Sophia Yat Mei Lee. 2010.<br />

Employing personal/impersonal views<br />

in supervised and semi-supervised<br />

sentiment classification. In Proceedings<br />

of the 48th Annual Meeting of the<br />

Association <strong>for</strong> Computational Linguistics,<br />

pages 414–423, Uppsala.<br />

Liu, Jingjing and Stephanie Seneff. 2009.<br />

Review sentiment scoring via a

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