MATSUMOTO KAZUYUKI

J-GLOBAL         Last updated: Jun 6, 2019 at 16:36
 
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Name
MATSUMOTO KAZUYUKI
Affiliation
The University of Tokushima
Research funding number
90509754

Research Areas

 
 

Education

 
Mar 2008
   
 
徳島大学 大学院工学研究科博士後期課程 修了
 

Awards & Honors

 
Nov 2018
Comment Mover's Distanceを用いた類似動画検索, IDRユーザーフォーラム2018 ドワンゴ賞, 国立情報学研究所
Winner: Hirokimi Fukuda, Kazuyuki Matsumoto, Minoru Yoshida, Kenji Kita
 
Aug 2018
Emotion Recognition from Emoticons using Convolutional Neural Networks, Best Poster Presentation Award, 2nd Technological Competency as Caring in the Health Sciences 2018
Winner: Nakao Hidetoshi, Jirela Dilixiati, Kazuyuki Matsumoto, Minoru Yoshida and Kenji Kita
 
Dec 2016
Ego-state Estimation from Short Texts Based on Sentence Distributed Representation, Best Paper Award of The 11th International Conference on Natural Language Processing and Knowledge Engineering
Winner: Kazuyuki Matsumoto, Tanaka Satoshi, Minoru Yoshida, Kenji Kita, Fuji Ren
 
Sep 2016
Judgment of Slang based on Character Feature and Feature Expression based on Slang's Context Feature, Best Paper Award of the 2nd INTERNATIONAL CONFERENCE ON SOFT COMPUTING IN DATA SCIENCE 2016, The 2nd INTERNATIONAL CONFERENCE ON SOFT COMPUTING IN DATA SCIENCE 2016
Winner: Kazuyuki Matsumoto, Seiji Tsuchiya, Minoru Yoshida, Kenji Kita
 
Mar 2008
教育研究助成奨励賞, Tokushima University
Winner: Kazuyuki Matsumoto
 

Published Papers

 
Twitter User's Hobby Estimation Based on Sequential Statements Using Deep Neural Networks
Bando Koji, Kazuyuki Matsumoto, Minoru Yoshida, Kenji Kita
International Journal of Machine Learning and Computing   Vol.9(No.2) 108-114   Apr 2019   [Refereed]
With more and more frequency, users communicate with each other on social media. Many users start on Twitter or Facebook to find friends who have the same hobby. Our study proposes a method to estimate the users interests (hobby) based on tweets o...
Emotion Recognition for Japanese Short Sentences Including Slangs Based on Bag of Concepts Feature Trained by Large Web Text
MATSUMOTO KAZUYUKI, YOSHIDA MINORU, KITA KENJI
Current Analysis on Instrumentation and Control   2019(2) 9-18   Feb 2019   [Refereed]
Slang Feature Extraction by Analyzing Topic Change on Social Media
MATSUMOTO KAZUYUKI, REN FUJI, MATSUOKA MASAYA, YOSHIDA MINORU, KITA KENJI
CAAI Transactions on Intelligence Technology      Jan 2019   [Refereed]
Data Augmentation for Lyric Emotion Estimation
Kataoka Asaki, Sasayama Manabu and Kazuyuki Matsumoto
2018 International Conference on Creativity, Innovation, and Invention in Digital Technology (CIIDT2018)      Dec 2018   [Refereed]
Lyric Emotion Estimation Using Word Embedding Learned from Lyric Corpus
MATSUMOTO KAZUYUKI, SASAYAMA MANABU
Proceedings of the 4th IEEE International Conference on Computer and Communications      Dec 2018   [Refereed]

Books etc

 
Time-Series Analysis of Video Comments on Social Media
Kazuyuki Matsumoto, Hayato Shimizu, Minoru Yoshida, Kenji Kita
Worlds largest Science, Technology & Medicine Open Access book publisher   Jul 2017   
In this study, we propose a method to detect unfair rating cheat caused by multiple comment postings focusing on time-series analysis of the number of comments. We defined the videos that obtained a lot of comments by unfair cheat as unfair video ...
Artificial Intelligence with Uncertainty
Fuji Ren, Shun Nishide, Kazuyuki Matsumoto, XIN KANG, Duo Feng, Mengjia He
NTS   Jun 2017   
情報科学入門
Yoshiyasu Ishimaru, Shin-ichi Ito, Takeshi Uno, Yasuhiro Okamura, Kenji Ohira, Kosuke Ono, Hidekazu Kakei, Kazuhide Kanenishi, Maiko Sawada, Toru Hasunuma, Ray S. Furuya, Kenji Matsuura, Kazuyuki Matsumoto, 土岐 順子, 阿部 香織, 山? 紅, 辰巳 丈夫, 勝村 幸博
日経BP社   Apr 2017   
The Current State of Performance and Development of Natural Language Processing Required for Humanoid Caring Robots
Kazuyuki Matsumoto
Fukuro Shuppan Publishing   Mar 2017   
Natural Language Processing Capabilities Required for Humanoid Nursing Robots
Fuji Ren, Kazuyuki Matsumoto
Fukuro Shuppan Publishing   Mar 2017   

Conference Activities & Talks

 
歌詞感情コーパスの拡張についての検討
KATAOKA ASAKI, SASAYAMA MANABU, MATSUMOTO KAZUYUKI
人工知能学会第82回SLUD(言語・音声理解と対話処理)研究会予稿集   1 Mar 2018   
Lyric emotion estimation can achieve song search which is based on emotions included in the lyrics. Whilst emotion expression dictionary is often referred on emotion estimation tasks, lyric emotions tend to be determined for each phrase. Therefore...
Lyric Emotion Estimation Using Word Embedding Learned from Lyric Corpus
Kazuyuki Matsumoto, Manabu Sasayama
Proceedings of the 4th IEEE International Conference on Computer and Communications   Dec 2018   
In searching huge music databases, users typically use title, artist or song writer's name as their search query. When users have only vague search conditions, searching for a song using affective information - that is, emotional impressions of th...
ゲームクリエイトプロジェクトの活動を通じて得られたこと
Shohta Yokoyama, Kazuyuki Matsumoto
平成29年度全学FD推進プログラム 大学教育カンファレンス in 徳島   5 Jan 2018   
Twitter を用いた感染症発生動向の視覚化
MATSUMOTO RYUSEI, YOSHIDA MINORU, MATSUMOTO KAZUYUKI, KITA KENJI
人工知能学会インタラクティブ情報アクセスと可視化マイニング研究会(第15回)   4 Mar 2017   The Japanese Society for Artificial Intelligence
The purpose of this research is to extract comments on infectious diseases from Twitterand to create an infection map.As a method,we check the facts of the extracted utterance,extractthe past tweets of the infected person from the result,and estim...
Modeling Relations Between Profiles and Texts
Minoru Yoshida, Kazuyuki Matsumoto, Kenji Kita
Proceedings of the 14th the Asia Information Retrieval Societies Conference (AIRS 2018)   29 Nov 2018   

Research Grants & Projects

 
Grants-in-Aid for Scientific Research
Project Year: Apr 2018 - Mar 2021    Investigator(s): 吉田 稔
Grants-in-Aid for Scientific Research
Project Year: Apr 2015 - Mar 2019    Investigator(s): 任 福継
Grants-in-Aid for Scientific Research
Project Year: Apr 2015 - Mar 2019    Investigator(s): 松本 和幸
Grants-in-Aid for Scientific Research
Project Year: Apr 2015 - Mar 2018    Investigator(s): 北 研二
Grants-in-Aid for Scientific Research
Project Year: Apr 2010 - Mar 2015    Investigator(s): REN Fuji