Presentation 2012-12-19
Extracting location specific expressions from social media texts
Hironori Kato, Eiji Aramaki, Mai Miyabe, Minoru Yoshida, Issei Sato, Hiroshi Nakagawa,
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Abstract(in English) Recently, social media has attracted attention in many fields, computer science, social science, market-ing and so on. In this study, we focus on Twitter, which is one of the most used services for the micro-blogs. InTwitter, some text data, called \tweet", have geographical information which includes the lat/long of the place atwhich the tweet is generated. Therefore, it is more and more important to simultaneously analyze the text andgeographical information, e.g., for marketing and community-based service. The purpose of this study is to developthe system to extract expressions specialized in each local location from Twitter.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) social media / search system / location information
Paper # NLC2012-38
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Committee NLC
Conference Date 2012/12/12(1days)
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Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Extracting location specific expressions from social media texts
Sub Title (in English)
Keyword(1) social media
Keyword(2) search system
Keyword(3) location information
1st Author's Name Hironori Kato
1st Author's Affiliation Tokyo University()
2nd Author's Name Eiji Aramaki
2nd Author's Affiliation Tokyo University
3rd Author's Name Mai Miyabe
3rd Author's Affiliation Tokyo University
4th Author's Name Minoru Yoshida
4th Author's Affiliation Tokyo University
5th Author's Name Issei Sato
5th Author's Affiliation Tokyo University
6th Author's Name Hiroshi Nakagawa
6th Author's Affiliation Tokyo University
Date 2012-12-19
Paper # NLC2012-38
Volume (vol) vol.112
Number (no) 367
Page pp.pp.-
#Pages 6
Date of Issue