Auflistung nach Autor:in "Ishikawa, Shota"
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- KonferenzbeitragHot topic detection in local areas using twitter and wikipedia(ARCS 2012 Workshops, 2012) Ishikawa, Shota; Arakawa, Yutaka; Tagashira, Shigeaki; Fukuda, AkiraAs 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.