Presentation 2014-02-06
Extraction of Hot Topics in Specific Area using Twitter Stream and its Visualization
Toshihiro ROKUSE, Makoto SHIMIZU, Shinnosuke FURUHASHI, Hiroki TAKAHATA, Naoto KONDO, Tomoki SATO, Gaku ENDO, Masafumi WATANABE, Osamu UCHIDA,
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Abstract(in English) In regional portal sites that are operated by local governments to provide information about such as sightseeing and disaster prevention, event invitation, disaster-related information, traffic information, etc. are posted. However, because most of this information in collected by human assistance manually, these portal sites cannot respond unofficial events and sudden and unexpected incidents and therefore real-time property is not generally high. The purpose of this study is to extract hot topics in specific areas using twitter stream. Moreover we implement an application to extract hot topics in the peripheral area of the user's current location and provide it comprehensibly.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Twitter / Text Mining / Visualization / User Interface / Keyword Extraction
Paper # NLC2013-49
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Conference Information
Committee NLC
Conference Date 2014/1/30(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) Extraction of Hot Topics in Specific Area using Twitter Stream and its Visualization
Sub Title (in English)
Keyword(1) Twitter
Keyword(2) Text Mining
Keyword(3) Visualization
Keyword(4) User Interface
Keyword(5) Keyword Extraction
1st Author's Name Toshihiro ROKUSE
1st Author's Affiliation Graduate School of Engineering, Tokai University()
2nd Author's Name Makoto SHIMIZU
2nd Author's Affiliation Dept. Human and Information Science, Tokai University
3rd Author's Name Shinnosuke FURUHASHI
3rd Author's Affiliation Dept. Human and Information Science, Tokai University
4th Author's Name Hiroki TAKAHATA
4th Author's Affiliation Dept. Human and Information Science, Tokai University
5th Author's Name Naoto KONDO
5th Author's Affiliation Graduate School of Engineering, Tokai University
6th Author's Name Tomoki SATO
6th Author's Affiliation Graduate School of Engineering, Tokai University
7th Author's Name Gaku ENDO
7th Author's Affiliation Dept. Human and Information Science, Tokai University
8th Author's Name Masafumi WATANABE
8th Author's Affiliation Dept. Human and Information Science, Tokai University
9th Author's Name Osamu UCHIDA
9th Author's Affiliation Dept. Human and Information Science, Tokai University
Date 2014-02-06
Paper # NLC2013-49
Volume (vol) vol.113
Number (no) 429
Page pp.pp.-
#Pages 4
Date of Issue