The Use of Text Similarity and Sentiment Analysis to Examine Rationales in the Large-Scale Online Deliberations

Wanting Mao, Lu Xiao, Robert Mercer

Research output: Chapter in Book/Entry/PoemConference contribution

4 Scopus citations

Abstract

To overcome the increasingly time consuming and potentially challenging identification of key points and the associated rationales in large-scale online deliberations, we propose a computational linguistics method that has the potential of facilitating this process of reading and evaluating the text. Our approach is novel in how we determine the sentiment of a rationale at the sentence level and in that it includes a text similarity measure and sentence-level sentiment analysis to achieve this goal.

Original languageEnglish (US)
Title of host publication5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2014 at the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings
EditorsAlexandra Balahur, Erik van der Goot, Ralf Steinberger, Andres Montoyo
PublisherAssociation for Computational Linguistics (ACL)
Pages147-153
Number of pages7
ISBN (Electronic)9781941643112
StatePublished - 2014
Externally publishedYes
Event5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2014 at the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Baltimore, United States
Duration: Jun 27 2014 → …

Publication series

NameProceedings of the Annual Meeting of the Association for Computational Linguistics
ISSN (Print)0736-587X

Conference

Conference5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2014 at the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014
Country/TerritoryUnited States
CityBaltimore
Period6/27/14 → …

ASJC Scopus subject areas

  • Computer Science Applications
  • Linguistics and Language
  • Language and Linguistics

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