Presentation 2012-05-18
Brand Analysis on Twitter by Estimation of User Profiles utilizing a Social Graph
Sho KAWANAKA, Kyosuke NISHIDA, Takeshi KURASHIMA, Takahide HOSHIDE, Ko FUJIMURA,
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Abstract(in English) We propose a method for analyzing brands using user attributes from Twitter. Our method extracts attributes from user descriptions and brands' features from tweets, and calculates the relevance between attributes and features through their co-occurence. Our proposal includes a novel approach for estimating the attributes of a user, through their social neighbors. Experiments with Twitter data show our method achieves better recall than a ranking method based on global popularity. Furthermore, in our experiments, our method succeeded in increasing the number of extracted attributes extending attributes that relate to a brand's feature despite using a limited social graph.
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Keyword(in English) Web Mining / User Profile / Marketing
Paper # LOIS2012-7
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Committee LOIS
Conference Date 2012/5/10(1days)
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Registration To Life Intelligence and Office Information Systems (LOIS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Brand Analysis on Twitter by Estimation of User Profiles utilizing a Social Graph
Sub Title (in English)
Keyword(1) Web Mining
Keyword(2) User Profile
Keyword(3) Marketing
1st Author's Name Sho KAWANAKA
1st Author's Affiliation NTT Cyber Solutions Laboratories, NTT Corporation()
2nd Author's Name Kyosuke NISHIDA
2nd Author's Affiliation NTT Cyber Solutions Laboratories, NTT Corporation
3rd Author's Name Takeshi KURASHIMA
3rd Author's Affiliation NTT Cyber Solutions Laboratories, NTT Corporation
4th Author's Name Takahide HOSHIDE
4th Author's Affiliation NTT Cyber Solutions Laboratories, NTT Corporation
5th Author's Name Ko FUJIMURA
5th Author's Affiliation School of Social Information Studies, Otsuma Women's University
Date 2012-05-18
Paper # LOIS2012-7
Volume (vol) vol.112
Number (no) 35
Page pp.pp.-
#Pages 6
Date of Issue