Hot topic detection in local areas using twitter and wikipedia
| dc.contributor.author | Ishikawa, Shota | |
| dc.contributor.author | Arakawa, Yutaka | |
| dc.contributor.author | Tagashira, Shigeaki | |
| dc.contributor.author | Fukuda, Akira | |
| dc.contributor.editor | Mühl, Gero | |
| dc.contributor.editor | Richling, Jan | |
| dc.contributor.editor | Herkersdorf, Andreas | |
| dc.date.accessioned | 2019-10-30T12:50:11Z | |
| dc.date.available | 2019-10-30T12:50:11Z | |
| dc.date.issued | 2012 | |
| dc.description.abstract | 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. | en |
| dc.identifier.isbn | 978-3-88579-294-9 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/29489 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | ARCS 2012 Workshops | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-200 | |
| dc.title | Hot topic detection in local areas using twitter and wikipedia | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 174 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 165 | |
| gi.conference.date | 28. Februar-2. März 2012 | |
| gi.conference.location | München | |
| gi.conference.sessiontitle | Regular Research Papers |
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