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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IA, SITE, IPSJ-IOT [detail] | 2024-03-13 15:55 |
Okinawa | Miyakojima City Future Creation Center (Primary: On-site, Secondary: Online) |
An Evaluation Experiment of Document Retrieval Methods based on Entropy Co-occurrence on Topics in Folk Cultural Materials Junya Komatsu, Tetsuya Morizumi, Kaito Hosono, Hirotsugu Kinoshita (Kanagawa Univ.)  SITE2023-108 IA2023-114 |
In our general linguistic activities, there are "unspeakable things" such as common knowledge or things implied. It is n... [more] | SITE2023-108 IA2023-114 pp.255-262 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-03 16:45 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Visualization of diverse solutions with different number of topics in topic models Toshio Uchiyama, Tsukasa Hokimoto (HIU) IBISML2023-44 |
The Latent Dirichlet analysis is known as a topic model that is useful for analyzing data such as documents. The hiera... [more] |
IBISML2023-44 pp.29-35 |
| ICTSSL, CAS | 2024-01-26 13:25 |
Kanagawa | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Model-based Estimation Method of the Cortical Retinotopic Map
-- A method for measuring visual ability in an animal -- Nprihiro Katayama (Shokei Gakuin Univ.) CAS2023-103 ICTSSL2023-56 |
Various technologies are being developed to reconstruct visual function, including retinal chips, iPS cells, and optogen... [more] | CAS2023-103 ICTSSL2023-56 pp.101-105 |
| IN, IA (Joint) |
2023-12-22 14:00 |
Hiroshima | Satellite Campus Hiroshima | [Invited Talk]
Extracting the evolution of public opinion on COVID-19 vaccination from Japanese tweet data Ryota Kobayashi (U. Tokyo) IN2023-48 |
Vaccination coverage in Japan increased rapidly. Japan ranked 14th among 229 countries in terms of COVID-19 vaccination ... [more] | IN2023-48 p.59 |
| ET | 2023-12-16 10:40 |
Okayama | Tsushima Campus,Okayama University | A Proposal of Commentary Function for Understanding Hard Topics in Java Programming Learning Assistant System Yanhui Jing, Nobuo Funabiki, Soe Thandar Aung, Xiqin Lu, Khaing Hsu Wai (Okayama Univ.), Kiyoshi Ueda (Nihon Univ.) ET2023-36 |
Nowadays, Java has been used in a variety of application systems as a highly portable object-oriented programming langua... [more] | ET2023-36 pp.1-6 |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Extracting valuable complaints for improving events based on topic classification Nanako Hirao, Ryosuke Yamanishi (Kansai Univ.) |
Wide-spread of social media enables us to easily share our comments about things and experientials, including complaints... [more] | |
| WIT, HI-SIGACI | 2023-12-07 11:15 |
Tokyo | AIST Tokyo Waterfront (TBD) | On Modeling Daily Activities of the Elderly Living Alone Using Markov Series of Dirichlet Multinomial Mixture Models Ken Sadohara (AIST) WIT2023-30 |
To develop smart home technology designed to analyze the activity of residents based on the logs of installed sensors, a... [more] | WIT2023-30 pp.31-36 |
| ET | 2023-11-11 14:00 |
Kagawa | Kagawa University Saiwai-cho (Main) Campus / Online (Primary: On-site, Secondary: Online) |
Development of a Book Recommendation System Based on Topic Analysis for Review Texts Ryohei Kikuchi, Toru Kano (Ibaraki Univ.) ET2023-29 |
With the increase in the number of books, it has become difficult for readers to find books that match their personal ta... [more] | ET2023-29 pp.27-31 |
| TL | 2023-09-30 13:10 |
Tokyo | University of Tokyo | Does the number of topic attributed features affect metaphor-simile form preference? Ryunosuke Oka (Mitsubishi Electric), Takashi Kusumi (Kyoto University) TL2023-17 |
In this study, we investigated the effects of the number of topic-vehicle shared features attributed to the topic on the... [more] | TL2023-17 pp.9-13 |
| SeMI, RCS, RCC, NS, SR (Joint) |
2023-07-13 13:00 |
Osaka | Osaka University Nakanoshima Center + Online (Primary: On-site, Secondary: Online) |
Improvements in Depression Detection by Applying a Topic Model on Japanese Tweets Rio Ishibashi, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.) SeMI2023-29 |
Depression is a prevalent mental health disorder that can have a significant impact on an individual's well-being. There... [more] | SeMI2023-29 pp.34-39 |
| IA, SITE, IPSJ-IOT [detail] | 2023-03-15 15:10 |
Gunma | Maebashi Institute of Technology (Primary: On-site, Secondary: Online) |
Search by topic model to support research of ethnographic materials Junya Komatsu, Tetsuya Morizumi, Hirotsugu Kinoshita (Kanagawa Univ) SITE2022-56 IA2022-79 |
In a text retrieval system, there are three types of retrieval methods: word retrieval, textual relationship retrieval, ... [more] | SITE2022-56 IA2022-79 pp.15-20 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-03 16:40 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
On the analysis of diverse solutions in topic models Toshio Uchiyama, Tsukasa Hokimoto (HIU) PRMU2022-124 IBISML2022-131 |
Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are known as topic models to analyze text data and ... [more] | PRMU2022-124 IBISML2022-131 pp.355-362 |
| MVE, IPSJ-CVIM, VRSJ-SIG-MR | 2023-01-27 10:25 |
Nara | Nara Institute of Science and Technology (Primary: On-site, Secondary: Online) |
Comparison of brain activity when viewing presentation videos with different features
-- Evaluation based on topic difficulty and explanation skills -- Takahiro Morita, Liang Zhang, Atsushi Nagate (SoftBank), Maryam Alimardani, Shuichi Nishio (Osaka Univ) MVE2022-41 |
EEG was used to sense brain activity when viewing four types of presentation videos with different "topic difficulty" an... [more] | MVE2022-41 pp.37-42 |
| HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa | Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Exploratory analysis using a topic model for group work activities
-- Through scene categorization reflecting given viewpoints -- Takuya Arimoto, Kazuaki Kondo, Kei Shimonishi, Hirotada Ueda, Yuichi Nakamura (Kyoto Univ.) |
In this study, a topic model is applied to data-driven analysis of group work activity. We propose an exploratory way o... [more] |
|
| 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.) NS2022-52 |
In the development of large-scale communication software, due to the increase in development cost and shortage of manpow... [more] | NS2022-52 pp.121-126 |
| NLC, IPSJ-ICS | 2022-07-08 15:55 |
Online | Online | Topic Classification of Kyutech Corpus by Machine Learning Shinnosuke Kawasaki, Kazutaka Shimada (Kyutech) NLC2022-3 |
Discussion summarization is one of the most important tasks for discussion analysis. Utterances in a discussion contain... [more] |
NLC2022-3 pp.13-18 |
| 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 |
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