2011 LexiconbasedMethodsforSentiment

• (Taboada et al., 2011) ⇒ Maite Taboada, Julian Brooke, Milan Tofiloski, Kimberly Voll, and Manfred Stede. (2011). “Lexicon-based Methods for Sentiment Analysis.” In: Computational Linguistics Journal, 37(2). doi:10.1162/COLI_a_00049

Subject Headings: Sentiment Analysis Algorithm, Lexicon-based Algorithm.

Cited By

• http://scholar.google.com/scholar?q=%222011%22+Lexicon-based+Methods+for+Sentiment+Analysis
• http://dl.acm.org/citation.cfm?id=2000517.2000518&preflayout=flat#citedby

Quotes

Abstract

We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with their semantic orientation (polarity and strength), and incorporates intensification and negation. SO-CAL is applied to the polarity classification task, the process of assigning a positive or negative label to a text that captures the text's opinion towards its main subject matter. We show that SO-CAL's performance is consistent across domains and in completely unseen data. Additionally, we describe the process of dictionary creation, and our use of Mechanical Turk to check dictionaries for consistency and reliability.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2011 LexiconbasedMethodsforSentiment	Maite Taboada Julian Brooke Milan Tofiloski Kimberly Voll Manfred Stede			Lexicon-based Methods for Sentiment Analysis				10.1162/COLI_a_00049		2011