Opinion Mining on the Web 2.0 - Characteristics of User Generated Content and Their Impacts

Gerald Petz, Michal Jan Karpowicz, Harald Fürschuß, Andreas Auinger, Václav Stříteský, Andreas Holzinger

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

45 Zitate (Scopus)

Abstract

The field of opinion mining provides a multitude of methods and techniques to be utilized to find, extract and analyze subjective information, such as the one found on social media channels. Because of the differences be-tween these channels as well as their unique characteristics, not all approaches are suitable for each source; there is no “one-size-fits-all” approach. This paper aims at identifying and determining these differences and characteristics by per-forming an empirical analysis as a basis for a discussion which opinion mining approach seems to be applicable to which social media channel.
OriginalspracheEnglisch
TitelHuman-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data - Third International Workshop, HCI-KDD 2013, Held at SouthCHI 2013, Proceedings
Herausgeber (Verlag)Springer
Seiten35-46
Seitenumfang12
ISBN (Print)978-3-642-39145-3
DOIs
PublikationsstatusVeröffentlicht - 2013
VeranstaltungSouthCHI - Maribor, Slovenia, Slowenien
Dauer: 1 Jul 20133 Jul 2013

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band7947 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

KonferenzSouthCHI
Land/GebietSlowenien
OrtMaribor, Slovenia
Zeitraum01.07.201303.07.2013

Schlagwörter

  • opinion mining
  • user generated content
  • sentiment analysis
  • text mining
  • content extraction
  • language detection
  • Internet slang

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