Summarizing threads in blogs using opinion polarity

Authors:
Alexandra Balahur;Elena Lloret;Ester Boldrini;Andrés Montoyo;Manuel Palomar;Patricio Martínez-Barco
Affiliations:
University of Alicante, Alicante, Spain and Global Security and Crisis Management Unit, Ispra (VA), Italy;University of Alicante, Alicante, Spain;University of Alicante, Alicante, Spain;University of Alicante, Alicante, Spain;University of Alicante, Alicante, Spain;University of Alicante, Alicante, Spain
Venue:
eETTs '09 Proceedings of the Workshop on Events in Emerging Text Types
Year:
2009

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Abstract

The huge amount of data available on the Web needs to be organized in order to be accessible to users in real time. This paper presents a method for summarizing subjective texts based on the strength of the opinion expressed in them. We used a corpus of blog posts and their corresponding comments (blog threads) in English, structured around five topics and we divided them according to their polarity and subsequently summarized. Despite the difficulties of real Web data, the results obtained are encouraging; an average of 79% of the summaries is considered to be comprehensible. Our work allows the user to obtain a summary of the most relevant opinions contained in the blog. This allows them to save time and be able to look for information easily, allowing more effective searches on the Web.