Quotation Tatzl, Gabriele, Waldhauser, Christoph. 2010. Aggregating Opinions: Explorations into Graphs and Media Content Analysis. In Proceedings of TextGraphs-5 - 2010 Workshop on Graph-based Methods for Natural Language Processing, Hrsg. Banea, Carmen, Moschitti, Alessandro, Somasundaran, Swapna, Zanzotto, Fabio Massimo, 93-97. Uppsala, Sweden: Association for Computational Linguistics.


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Abstract

Understanding, as opposed to reading is vital for the extraction of opinions out of a text. This is especially true, as an author's opinion is not always clearly marked. Finding the overall opinion in a text can be challenging to both human readers and computers alike. Media Content Analysis is a popular method of extracting information out of a text, by means of human coders. We describe the difficulties humans have and the process they use to extract opinions and offer a formalization that could help to automate opinion extraction within the Media Content Analysis framework.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title Aggregating Opinions: Explorations into Graphs and Media Content Analysis
Title of whole publication Proceedings of TextGraphs-5 - 2010 Workshop on Graph-based Methods for Natural Language Processing
Editor Banea, Carmen, Moschitti, Alessandro, Somasundaran, Swapna, Zanzotto, Fabio Massimo
Page from 93
Page to 97
Location Uppsala, Sweden
Publisher Association for Computational Linguistics
Year 2010
URL http://www.aclweb.org/anthology/W10-2315

Associations

People
Waldhauser, Christoph (Former researcher)
External
Tatzl, Gabriele (SORA, Austria)
Organization
Institute for Statistics and Mathematics IN (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
6633 Computational linguistics (Details)
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