Semi-automated argumentative analysis of online product reviews

Adam Wyner, Jodi Schneider, Katie Atkinson, Trevor Bench-Capon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Argumentation is key to understanding and evaluating many texts. The arguments in the texts must be identified; using current tools, this requires substantial work from human analysts. With a rule-based tool for semi-automatic text analysis support, we facilitate argument identification. The tool highlights potential argumentative sections of a text according to terms indicative of arguments (e.g. 'suppose' or 'therefore') and domain terminology (e.g. camera names and properties). The information can be used by an analyst to instantiate argumentation schemes and build arguments for and against a proposal. The resulting argumentation framework can then be passed to argument evaluation tools.

Original languageEnglish (US)
Title of host publicationComputational Models of Argument - Proceedings of COMMA 2012
PublisherIOS Press
Pages43-50
Number of pages8
Edition1
ISBN (Print)9781614991106
DOIs
StatePublished - 2012
Externally publishedYes

Publication series

NameFrontiers in Artificial Intelligence and Applications
Number1
Volume245
ISSN (Print)0922-6389

Keywords

  • Argumentation schemes
  • Social media
  • Text analysis

ASJC Scopus subject areas

  • Artificial Intelligence

Fingerprint Dive into the research topics of 'Semi-automated argumentative analysis of online product reviews'. Together they form a unique fingerprint.

Cite this