Presentation 2012-09-27
Analysis of lnfluential Tweets on Twitter Using N-gram Model
Yuki NAKADA, Eiji KAMIOKA,
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Abstract(in English) With the remarkable development of social networking services in recent years,anyone can easily share their information. These services can be used for corporate advertising (PR) as well as building individual influences on the public.In this paper,grammatical feature extraction from posted sentences will be performed and sentence pattens which can commonly be posted by anyone will be derived. Grammatical features used in this paper are the ratio of column and the percentage of part-of-speech in the posted sentences. In addition to these investigations,discussions and comparisons on different aspects of general and influential posts will be presented.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) SNS / Web mining / N-gram model
Paper # MoMuC2012-20
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Conference Information
Committee MoMuC
Conference Date 2012/9/20(1days)
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Paper Information
Registration To Mobile Multimedia Communications(MoMuC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analysis of lnfluential Tweets on Twitter Using N-gram Model
Sub Title (in English)
Keyword(1) SNS
Keyword(2) Web mining
Keyword(3) N-gram model
1st Author's Name Yuki NAKADA
1st Author's Affiliation Graduate School of Engineering and Science,Shibaura Institute of Technology()
2nd Author's Name Eiji KAMIOKA
2nd Author's Affiliation Graduate School of Engineering and Science,Shibaura Institute of Technology
Date 2012-09-27
Paper # MoMuC2012-20
Volume (vol) vol.112
Number (no) 219
Page pp.pp.-
#Pages 6
Date of Issue