Gesellschaft für Informatik e.V.

Lecture Notes in Informatics

ARCS 2012 Workshops P-200, 165-174 (2012).

Gesellschaft für Informatik, Bonn

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Hot topic detection in local areas using twitter and wikipedia

Shota Ishikawa , Yutaka Arakawa , Shigeaki Tagashira and Akira Fukuda


As microblog services become increasingly popular, spatial-temporal text data has increased explosively. Many studies have proposed methods to spatially and temporally analyze an event, indicated by the text data. These studies have aimed a extracting the period and the location in which a specified topic frequently occurs. In this paper, we focus on a system that detects hot topic in a local area and during a particular period. There can be a variation in the words used even though the posts are essentially about the same hot topic. We propose a classification method that mitigates the variation of posted words related to the same topic.

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Gesellschaft für Informatik, Bonn
ISBN 978-3-88579-294-9

Last changed 20.02.2014 12:47:42