Presentation 2015-06-20
Extracting missing tweet based on browsing time interval and topic structure
Hiromitsu Ohara, Yu Suzuki, Akiyo Nadamoto,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) On Twitter, a user who browses tweets can follow another user who is called followee.The browsing user can get his/her interesting information from followee's tweets on his/her timeline easily. If the browsing user follows many followees, there are so many tweets on his/her timeline. When the browsing user can not browse long time, he/she loses large amount of important information. In this case, we consider if system automatically presents summary of lack information, it is beneficial for the browsing user. In this paper, we propose how to extract such lack information on twitter automatically based on browsing time interval and topic structure.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Twitter / Data Mining / TDT / Time Series Information
Paper # DE2015-2
Date of Issue 2015-06-13 (DE)

Conference Information
Committee DE
Conference Date 2015/6/20(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Recruit Technologies
Topics (in Japanese) (See Japanese page)
Topics (in English) Social Computing
Chair Masato Oguchi(Ochanomizu Univ.)
Vice Chair Makoto Onizuka(Osaka Univ.) / Masashi Toyoda(Univ. of Tokyo)
Secretary Makoto Onizuka(Univ. of Electro-Comm.) / Masashi Toyoda(Kyushu Univ.)
Assistant Mayuki Ueda(Univ. of Marketing and Distrbution Science) / Daisuke Kitayama(Kogakuin Univ.)

Paper Information
Registration To Technical Committee on Data Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Extracting missing tweet based on browsing time interval and topic structure
Sub Title (in English)
Keyword(1) Twitter
Keyword(2) Data Mining
Keyword(3) TDT
Keyword(4) Time Series Information
1st Author's Name Hiromitsu Ohara
1st Author's Affiliation Konan University(Konan Univ.)
2nd Author's Name Yu Suzuki
2nd Author's Affiliation Nara Institute of Science and Technology(NAIST)
3rd Author's Name Akiyo Nadamoto
3rd Author's Affiliation Konan University(Konan Univ.)
Date 2015-06-20
Paper # DE2015-2
Volume (vol) vol.115
Number (no) DE-110
Page pp.pp.7-12(DE),
#Pages 6
Date of Issue 2015-06-13 (DE)