The search result changed since you submitted your search request. Documents might be displayed in a different sort order.
  • search hit 3 of 30
Back to Result List

Lexicon-Based methods for sentiment analysis

  • 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 on completely unseen data. Additionally, we describe the process of dictionary creation, and our use of Mechanical Turk to check dictionaries for consistency and reliability.

Export metadata

Additional Services

Search Google Scholar Statistics
Metadaten
Author details:Maite Taboada, Julian Brooke, Milan Tofiloski, Kimberly Voll, Manfred StedeORCiDGND
ISSN:0891-2017
Title of parent work (English):Computational linguistics
Publisher:MIT Press
Place of publishing:Cambridge
Publication type:Article
Language:English
Year of first publication:2011
Publication year:2011
Release date:2017/03/26
Volume:37
Issue:2
Number of pages:41
First page:267
Last Page:307
Funding institution:Natural Sciences and Engineering Research Council of Canada [261104-2008]; Social Sciences and Humanities Research Council of Canada [410-2006-1009]
Organizational units:Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Linguistik
Peer review:Referiert
Publishing method:Open Access
Institution name at the time of the publication:Humanwissenschaftliche Fakultät / Institut für Linguistik / Allgemeine Sprachwissenschaft
Accept ✔
This website uses technically necessary session cookies. By continuing to use the website, you agree to this. You can find our privacy policy here.