Dimensions of argumentation in social media

Jodi Schneider, Brian Davis, Adam Wyner

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

Abstract

Mining social media for opinions is important to governments and businesses. Current approaches focus on sentiment and opinion detection. Yet, people also justify their views, giving arguments. Understanding arguments in social media would yield richer knowledge about the views of individuals and collectives. Extracting arguments from social media is difficult. Messages appear to lack indicators for argument, document structure, or inter-document relationships. In social media, lexical variety, alternative spellings, multiple languages, and alternative punctuation are common. Social media also encompasses numerous genres. These aspects can confound the extraction of well-formed knowledge bases of argument. We chart out the various aspects in order to isolate them for further analysis and processing.

Original languageEnglish (US)
Title of host publicationKnowledge Engineering and Knowledge Management - 18th International Conference, EKAW 2012, Proceedings
Pages21-25
Number of pages5
DOIs
StatePublished - 2012
Externally publishedYes
Event18th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2012 - Galway City, Ireland
Duration: Oct 8 2012Oct 12 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7603 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other18th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2012
CountryIreland
CityGalway City
Period10/8/1210/12/12

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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