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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CQ (2nd) |
2017-01-21 12:30 |
Osaka |
Osaka University Nakanoshima Center |
[Poster Presentation]
Car Sales Prediction using State Space Model with Search Volume on the Web Taichi Yamaguchi (Univ. of Tsukuba), Takaaki Tsunoda (CyberAgent), Mitsuo Yoshida (Toyohashi Tech), Sho Tsugawa, Mikio Yamamoto (Univ. of Tsukuba) |
Regarding monthly car sales as time series data, we can predict the future car sales using state space models. However, ... [more] |
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CQ |
2016-01-21 11:30 |
Ibaraki |
University of Tsukuba |
A Study on Estimating Influence of Social Media Users from Sampled Social Networks Kazuma Kimura, Sho Tsugawa, Mikio Yamamoto (Univ. of Tsukuba) CQ2015-97 |
In recent years, indices for estimating influence of social media users have been actively studied. Most studies utilize... [more] |
CQ2015-97 pp.25-30 |
NLC, TL [detail] |
2015-06-05 13:10 |
Tokushima |
The University of Tokushima |
A Method for Detecting "bad mouth" Comments in Social Media Focusing on Victim Person Types Yuki Kawahara, Takashi Inui, Mikio Yamamoto (Univ. of Tsukuba) TL2015-12 NLC2015-12 |
In this paper, we present a method for detecting ``bad
mouth'' ... [more] |
TL2015-12 NLC2015-12 pp.67-72 |
NLC |
2012-02-03 13:15 |
Niigata |
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Complaint sentence detection via automatic training data generation using sentiment lexicons and context coherence Yusuke Umezawa, Takashi Inui, Mikio Yamamoto (Univ. of Tsukuba) NLC2011-64 |
By the spread of the web in recent years, the review about products and services exists in large quantities on the web. ... [more] |
NLC2011-64 pp.47-52 |
NLC |
2008-02-08 15:30 |
Niigata |
Yuzawa Culture Center |
Discriminative topic-sentiment analysis from unsupervised topic corpora Kugatsu Sadamitsu, Takahiro Fukutomi, Mikio Yamamoto (Univ. of Tsukuba) NLC2007-97 |
Topic information included in reviews can be beneficially used in sentiment analysis, and this paper proposes a method o... [more] |
NLC2007-97 pp.57-62 |
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