Title: Summarizing Opinions in Blog Threads
Authors: BALAHUR AlexandraKABADJOV MIJAILSTEINBERGER JOSEFSTEINBERGER RalfMONTOYO Andres
Citation: Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation - ISBN 978-962-442-320-4 p. 606-613
Publisher: City University of Hong Kong Press
Publication Year: 2009
JRC N°: JRC54978
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC54978
Type: Contributions to Conferences
Abstract: In this paper we present an approach to summarizing positive and negative opinions in blog threads. We first run a sentiment analysis system and consequently pass its output through a standard LSA-based text summarization system. Further on, we evaluate our approach and present the results obtained, which we believe are promising in the context of multi-document text summarization. Finally, we discuss the main issues in applying standard text summarization techniques to the slightly different task of summarizing opinions in blog threads.
JRC Institute:Institute for the Protection and Security of the Citizen

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