Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-15 10:40 |
Ishikawa |
The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
A Method for Selecting Training Data using Topic Models and Doc2Vec for Automatic Test Cases Generation Yuto Fujita, Kiyoshi Ueda (Nihon Univ.) |
(To be available after the conference date) [more] |
NS2022-52 pp.121-126 |
AI |
2022-07-04 15:40 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Developing a Part-Oriented Aspect Term Extractor for Part-Specific Review Classification Shogo Anda, Masato Kikuchi, Tadachika Ozono (NIT) AI2022-13 |
Aspect term extraction is the extraction of terms representing entities and attributes in the target domain of sentiment... [more] |
AI2022-13 pp.66-71 |
PRMU, IPSJ-CVIM |
2022-03-11 09:45 |
Online |
Online |
A Study on Understanding the Meaning of Adverbs by Frequency Spectrum Analysis Using Gaussian Process Tomoe Taniguchi (Ochanomizu Univ.), Daichi Mochihashi (ISM), Masatoshi Nagano, Tomoaki Nakamura (UEC), Takayuki Nagai (Osaka Univ.), Tetsunari Inamura (NII), Ichiro Kobayashi (Ochanomizu Univ.) PRMU2021-74 |
In this study, we attempt to understand the meaning of adverbs through the features of human actions.
Specifically, the... [more] |
PRMU2021-74 pp.91-96 |
IBISML |
2022-03-09 14:55 |
Online |
Online |
Infinite SCAN: Joint Estimation of Changes and the Number of Word Senses with Gaussian Markov Random Fields Seiichi Inoue, Mamoru Komachi (TMU), Toshinobu Ogiso (NINJAL), Hiroya Takamura (AIST), Daichi Mochihashi (ISM) IBISML2021-47 |
In this study, we propose a hierarchical Bayesian model that can automatically estimate the number of senses for each wo... [more] |
IBISML2021-47 pp.61-68 |
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] |
2022-02-21 10:45 |
Online |
Online |
User Satisfaction Prediction for Dialogue System in Mental Health Interventions Shengzhou Yi (UTokyo), Toshiaki Kikuchi (Keio), Toshihiko Yamasaki (UTokyo) ITS2021-25 IE2021-34 |
Mental health conditions deeply impact all areas of the life. Too much stress, most of which is related to work performa... [more] |
ITS2021-25 IE2021-34 pp.1-6 |
PRMU |
2020-09-02 10:00 |
Online |
Online |
A method for clarifying differences between feature distributions of various solutions about topic model Toshio Uchiyama, Tsukasa Hokimoto (HIU) PRMU2020-8 |
Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are
known as topic models to analyze text data an... [more] |
PRMU2020-8 pp.1-6 |
NLP, NC (Joint) |
2020-01-25 14:30 |
Okinawa |
Miyakojima Marine Terminal |
Expert User-Item Modeling Each Topics Based on Tensor SOM and Latent Dirichlet Allocation Tatsuya Kanatsu, Tetsuo Furukawa, Kaori Yoshida (Kyutech) NC2019-74 |
User-item modeling is the foundation of recommendation systems. In this paper, we propose a method of building a set of ... [more] |
NC2019-74 pp.83-88 |
IN, IA (Joint) |
2019-12-19 14:50 |
Hiroshima |
Satellite Campus Hiroshima |
Improving Network Log Analysis by Semantics Kazuki Otomo (Univ. Tokyo), Satoru Kobayashi, Kensuke Fukuda (NII), Hiroshi Esaki (Univ. Tokyo) IA2019-49 |
System logs are important for network operation. However, automatic log analysis is difficult because the logs are large... [more] |
IA2019-49 pp.7-12 |
PRMU |
2019-12-20 10:00 |
Oita |
|
Analysis method and results of solution diversity about topic model Toshio Uchiyama, Tsukasa Hokimoto (HIU) PRMU2019-54 |
Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are
known as topic models to analyze text data an... [more] |
PRMU2019-54 pp.49-54 |
TL |
2019-09-29 14:35 |
Hokkaido |
National Institute of Technology, Hakodate College |
Hidden-word detection based on distributed representations and the topic model Wei Yilun, Lao Yingying, Han Dongli (Nihon Univ.) TL2019-39 |
In natural language analysis, there is a phenomenon called hidden-word that can be an obstacle. Most previous studies de... [more] |
TL2019-39 pp.11-15 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
In-Hospital Mortality Prediction for Trauma Patients Using Cost-Sensitive MedLDA Haruya Ishizuka, Tsukasa Ishigaki, Naoya Kobayashi, Daisuke Kudo, Atsuhiro Nakagawa (Tohoku Univ.) IBISML2018-75 |
In the field of emergency medical care, decision support systems, which support doctors’ judgements, have attracted. Acc... [more] |
IBISML2018-75 pp.233-240 |
NLC, IPSJ-DC |
2018-09-06 17:20 |
Tokyo |
Seikei University |
Latent co-occurrence words graph extraction using sparse structure estimation
-- Comparison of word vectors between topic model and distributed representation -- Norimitsu Kubono, Nozomi Hiyoshi, Daiju Akashi (PERSOL CAREER) NLC2018-19 |
We are considering application of "structural topic model" in order to extract customer insight from member questionnai... [more] |
NLC2018-19 pp.51-56 |
PRMU, SP |
2018-06-28 16:30 |
Nagano |
|
Analysis of solution diversity about topic model Toshio Uchiyama (HIU) PRMU2018-26 SP2018-6 |
A Topic model is known as a useful statistical model for analyzing text
data and images. Many different parameters (s... [more] |
PRMU2018-26 SP2018-6 pp.25-30 |
KBSE |
2018-05-26 10:15 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Adjusting dependency-based software clusters using semantic cohesion Keisuke Yano, Akihiko Matsuo (Fujitsu Labs.) KBSE2018-9 |
Software clustering techniques have been used to divide a software system into smaller parts. Especially, dependency-bas... [more] |
KBSE2018-9 pp.43-48 |
HCS |
2018-03-14 14:20 |
Miyagi |
Research Institute of Electrical Communication, Tohoku University |
Affection on User's Empathy Caused by Text Content Kazunori MAtsumoto, Kazushi Ikeda, Syunichi Tahara, Keiichirou Hoashi (KDDI Research Labs.) HCS2017-115 |
(To be available after the conference date) [more] |
HCS2017-115 pp.131-137 |
SS |
2018-03-06 16:30 |
Okinawa |
|
Toward Visualization of Discussions about Software Quality in OSS Development Shunta Nakanishi, Eunjong Choi, Hajimu Iida (NAIST) SS2017-70 |
To reduce software development cost, Open Source software (OSS) is frequently used in software development companies. Ho... [more] |
SS2017-70 pp.35-38 |
IBISML |
2018-03-05 16:35 |
Fukuoka |
Nishijin Plaza, Kyushu University |
Classification of Intra-Week and Intra-Day Walking Patterns and Their Effect on Body-Composition Changes Using A Hierarchical Model Shunichi Nomura (ISM), Michiko Watanabe, Yuko Oguma (Keio Univ.) IBISML2017-95 |
In this study, we extract intra-week and intra-day activity patterns based on hourly step-count data recorded using an a... [more] |
IBISML2017-95 pp.35-40 |
ET |
2018-03-03 14:25 |
Kochi |
Kochi University of Technology (Eikokuji Campus) |
Construction of Latent Needs Visualization Agent Based on a Hierarchical Topic Model Yusuke Kometani (Kagawa Univ.), Takashi Satoh (The Univ. of Kitakyushu) ET2017-98 |
In troubleshooting process it is effective to make visible the root cause and its corresponding solution of problems tha... [more] |
ET2017-98 pp.53-58 |
ET |
2018-01-27 14:50 |
Hyogo |
Kobe Univ. |
Development of Latent Needs Visualization Agent for Supporting IT Troubleshooting Process within a University Yusuke Kometani (Kagawa Univ.), Takashi Satoh (The Univ. of Kitakyushu) ET2017-85 |
In troubleshooting process it is effective to make visible the root cause and its corresponding solution of problems tha... [more] |
ET2017-85 pp.31-36 |
IA |
2018-01-26 10:55 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Investigating influences of delivery method switching procedures on Pub/Sub infrastructure utilizing SDN Ryosuke Morifusa, Toyokazu Akiyama (Kyoto Sangyo Univ.) IA2017-65 |
Topic-based Pub/Sub communication model is widely used in SNS and IoT. SAPS(SDN Aware Pub/Sub) was proposed as a distrib... [more] |
IA2017-65 pp.1-6 |