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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IN | 2021-01-18 10:55 |
Online | Online | Stinging-Word Detection in Tweets for Reducing Defamation Damage Keigo Itoh, Komei Arasawa, Shun Hattori (Muroran Inst. of Tech.)  IN2020-42 |
Posting slanderous defamation on the Internet has been regarded as a social problem, and now it seems that the social aw... [more] | IN2020-42 pp.7-12 |
| MVE | 2020-09-09 12:00 |
Online | Online | [Short Paper]
Semantic structurization of geotagged tweets for real-world information retrieval Jeongwoo Lim, Naoko Nitta, Kazuaki Nakamura, Noboru Babaguchi (Osaka Univ.) MVE2020-15 |
Twitter is a useful source for retrieving up-to-date information about the real-world. This paper proposes a method, for... [more] | MVE2020-15 pp.27-28 |
| DE | 2020-06-27 12:15 |
Online | Online | Estimation of Sports Broadcast Situations based on Character-level Auto Encoder for Live Tweets Nodoka Fujimoto, Taketoshi Ushiama (Kyushu Univ.) DE2020-10 |
In this paper, we propose a method to generate vectors of each situation on video content from the latest small number o... [more] | DE2020-10 pp.53-58 |
| IA, IN (Joint) |
2018-12-14 09:45 |
Hiroshima | Hiroshima Univ. | Characteristics of Twitter Data Collected by Keyword Search and Information Diffusion Process on Twitter Shigeo Shioda, Masato Minamikawa, Keisuke Nakajima (Chiba Univ.) IN2018-64 |
(To be available after the conference date) [more] | IN2018-64 pp.31-36 |
| MSS, NLP (Joint) |
2018-03-14 10:05 |
Osaka | Improvement of Spaito-Temporal Situation Recognition Using Staff's Behavior Logs Shun Hayakashi, Kunihiko Hiraishi, Naoshi Uchihira (JAIST) MSS2017-90 |
Recently, assist technologies for work staff using ICT devices is expected to be introduced into various real fields. In... [more] | MSS2017-90 pp.67-72 |
|
| COMP | 2018-03-05 10:00 |
Osaka | Osaka Prefecture Univ. | Relationship between Retweet and Structure of the Twitter Network Tatsuya Fukushima (Waseda Univ.) COMP2017-45 |
We collect tweet data to visualize the spread of tweets and find out the relationship between the number of each users' ... [more] | COMP2017-45 pp.1-7 |
| MoNA | 2017-12-21 11:45 |
Tokyo | Ochanomizu University | Analysis of preference of foreigners visiting Japan for event information distribution based on social stream Miki Imai (Ochanomizu Univ.), Miki Enoki (IBM Research), Masato Oguchi (Ochanomizu Univ.) MoNA2017-32 |
Foreign tourists visiting Japan are rapidly increasing in recent years. Considering the Olympics to be held in 2020 at ... [more] | MoNA2017-32 pp.25-29 |
| NS, IN (Joint) |
2017-03-03 11:20 |
Okinawa | OKINAWA ZANPAMISAKI ROYAL HOTEL | Spatial pattern analysis using chromatic network motif Jinattaporn Khumsri, Akihiro Fujihara (FUT) IN2016-144 |
There are two famous supermarkets in Thailand: Big C and Lotus. They are the highest competitive supermarkets whose hold... [more] | IN2016-144 pp.281-286 |
| SITE | 2016-10-03 10:55 |
Tokyo | Nihon University, Surugadai-Campus | A proposal of the method to estimate Privacy Flaming cases on Twitter
-- Specifying the potential factors effecting Privacy Flaming according to the number of the retweets -- Naonori Kato, Yosuke Murakami (KDDI Research) SITE2016-33 |
The risk of privacy violations in the personal data utilization is one of the big issues surrounding the data utilizatio... [more] | SITE2016-33 pp.11-14 |
| LOIS, IPSJ-SPT, IPSJ-GN | 2016-05-12 13:55 |
Tokyo | Using Tweets to Explore the Reality of Labor
-- Analysis of Tweets Topics, Employee Motivation, and Overtime Hours -- Shigeko Iwamoto (UEC), Yuki Ogawa (Ritsumeikan Univ), Hirohiko Suwa (NAIST), Toshizumi Ohta (IAIS) LOIS2016-2 |
We clarify the relation between topics of tweets and employee’s willingness on overtime work. The unwilling overtime wor... [more] | LOIS2016-2 pp.7-12 |
|
| CQ | 2015-09-01 11:20 |
Kyoto | Kyoto Institute of Technology | Relation between Message Sentiment and its Virality on Social Media Sho Tsugawa (Univ. of Tsukuba), Hiroyuki Ohsaki (Kwansei Gakuin Univ.) CQ2015-46 |
We investigate the relation between the sentiment of a message on social media and its virality, defined as the volume a... [more] | CQ2015-46 pp.37-42 |
| LOIS, IPSJ-DC (Joint) |
2015-07-14 10:00 |
Hokkaido | Future University Hakodate | Automatic LOD conversion system of tweet data related on a tourist spot Yuta Isono, Toru Kobayashi (Nagasaki Univ.) LOIS2015-15 |
We proposed an automatic Linked Open Data (LOD) conversion system of tweet data related on a tourist spot. This system c... [more] | LOIS2015-15 pp.35-40 |
| IN | 2014-10-16 15:20 |
Osaka | Osaka Univ. | A Method to Extract Security-related Tweets Atsutoshi Kumagai, Shingo Orihara, Tetsuya Abe, Susumu Kakuta, Yasushi Okano, Yoshihito Oshima (NTT) IN2014-76 |
Recently, Twitter is becoming a place where security-related information is posted, such as a warning of cyber attacks w... [more] | IN2014-76 pp.13-18 |
| NLC | 2013-09-12 14:10 |
Tokyo | National Olympics Memorial Youth Center | An approach for extracting concerned area of Twitter users by category information in Wikipedia Yinjun Hu, Yasuo Tanida (Synergy Marketing) NLC2013-17 |
Recently, Twitter becomes widely spread and owns a large number of users what attracts much attention for text mining re... [more] | NLC2013-17 pp.17-21 |
| HIP, HCS, HI-SIGCE [detail] | 2013-05-30 11:15 |
Okinawa | Okinawa Industry Support Center | Presence of an assistant agent on SNS inhibits negative blaming statements in tweeting Miyuki Onuma, Atsushi Kimura, Hiroki Sasaki, Naoki Mukawa (Tokyo Denki Univ.) HCS2013-4 HIP2013-4 |
This study examined whether artificial cues of others on social networking sites (SNS) have an effect on a user’s tweeti... [more] | HCS2013-4 HIP2013-4 pp.19-24 |
| NLC | 2012-08-30 17:15 |
Kanagawa | Fuji Xerox | Emotion estimation of commentary tweets Yasuhiro Tajima (OPU) NLC2012-16 |
We propose estimation performances about emotion of tweets attached to web news articles. The estimation mathod is a n... [more] |
NLC2012-16 pp.37-40 |
| AI | 2012-06-21 16:45 |
Tokyo | Factor Extraction of Microblog Behavior Model with Panel data and Time line data Hidekazu Nakawatase, Keizo Oyama (NII) AI2012-6 |
(To be available after the conference date) [more] | AI2012-6 pp.31-32 |
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