Logo des Repositoriums
 
Konferenzbeitrag

Hot topic detection in local areas using twitter and wikipedia

Lade...
Vorschaubild

Volltext URI

Dokumententyp

Text/Conference Paper

Zusatzinformation

Datum

2012

Zeitschriftentitel

ISSN der Zeitschrift

Bandtitel

Verlag

Gesellschaft für Informatik e.V.

Zusammenfassung

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.

Beschreibung

Ishikawa, Shota; Arakawa, Yutaka; Tagashira, Shigeaki; Fukuda, Akira (2012): Hot topic detection in local areas using twitter and wikipedia. ARCS 2012 Workshops. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-294-9. pp. 165-174. Regular Research Papers. München. 28. Februar-2. März 2012

Schlagwörter

Zitierform

DOI

Tags