Presentation 2017-06-23
Construction of Life Event Prediction Model using Tendency of Word Occurrence in User's Tweet History
Shun Abe, Masumi Shirakawa, Takahiro Hara, Kazushi Ikeda, Keiichiro Hoashi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose a method for constructing life event prediction models using the tendency of word occurrences in past tweets posted by users who experienced the life events. We conducted experiments for five types of life events, i.e., birth, leaving hospital, getting a job, pregnancy and marriage, and assessed the prediction performance of the proposed method for each life event.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Twitter / Life event / Event detection / Event prediction
Paper # DE2017-1
Date of Issue 2017-06-16 (DE)

Conference Information
Committee DE
Conference Date 2017/6/23(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Akiyo Nadamoto(Konan Univ.)
Vice Chair Koji Eguchi(Kobe Univ.) / Shingo Otsuka(Kanagawa Inst. of Tech.)
Secretary Koji Eguchi(Kogakuin Univ.) / Shingo Otsuka(Univ. of Marketing and Distrbution Science)
Assistant Kazuo Goda(Univ. of Tokyo) / Yuroaki Shiokawa(Tsukuba 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) Construction of Life Event Prediction Model using Tendency of Word Occurrence in User's Tweet History
Sub Title (in English)
Keyword(1) Twitter
Keyword(2) Life event
Keyword(3) Event detection
Keyword(4) Event prediction
1st Author's Name Shun Abe
1st Author's Affiliation Osaka University(Osaka Univ.)
2nd Author's Name Masumi Shirakawa
2nd Author's Affiliation hapicom Inc.(hapicom)
3rd Author's Name Takahiro Hara
3rd Author's Affiliation Osaka University(Osaka Univ.)
4th Author's Name Kazushi Ikeda
4th Author's Affiliation KDDI Research, Intelligent Media Laboratory(KDDI Research)
5th Author's Name Keiichiro Hoashi
5th Author's Affiliation KDDI Research, Intelligent Media Laboratory(KDDI Research)
Date 2017-06-23
Paper # DE2017-1
Volume (vol) vol.117
Number (no) DE-108
Page pp.pp.1-6(DE),
#Pages 6
Date of Issue 2017-06-16 (DE)