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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ICTSSL, IEE-SMF, IN, NWS | 2024-10-11 13:30 |
Hiroshima | (Hiroshima, Online) (Primary: On-site, Secondary: Online) |
Comparison of Effects of VLM-based Image-to-Text on Machine Classifications for Visualizing Tourism Tweets as Instances Yuto Fujidai, Shun Hattori, Wataru Sunayama (THE UNIVERSITY OF SHIGA PREFECTURE)  IN2024-53 |
One potential application of travel activity data is visualization, which can aid in the decision-making process for new... [more] | IN2024-53 pp.60-64 |
| NLC | 2024-09-02 13:30 |
Hokkaido | Hokkaido University. The Clark Memorial Student Center. (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
Extraction of sentences containing surprising business in companies Yoshimasa Kobayashi, Hiroyuki Sakai (SEIKEI Univ.), Kengo Enami (Tsuda Univ.) NLC2024-2 |
In this research, we propose a method for estimating surprising businesses that are not generally known from the busines... [more] | NLC2024-2 pp.6-11 |
| NLC | 2024-09-03 11:00 |
Hokkaido | Hokkaido University. The Clark Memorial Student Center. (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
EWS: the Economic Watcher Survey Datasets and Tasks for the Financial and Economic Domain Masahiro Suzuki (The Univ. of Tokyo), Hiroki Sakaji (Hokkaido Univ.) NLC2024-18 |
We construct a large dataset corresponding to three financial and economic domain text classification tasks, including s... [more] | NLC2024-18 pp.99-104 |
| LOIS, SITE, ISEC | 2023-11-09 13:55 |
Hiroshima | Satellite Campus Hiroshima (Hiroshima, Online) (Primary: On-site, Secondary: Online) |
ISEC2023-58 SITE2023-52 LOIS2023-16 |
With the spread of work style reforms such as remote work, communication about information security risks tends to be in... [more] | ISEC2023-58 SITE2023-52 LOIS2023-16 pp.26-32 |
| SC | 2023-03-17 11:05 |
Tokyo | NII (Tokyo, Online) (Primary: On-site, Secondary: Online) |
Automatic Detection of Fire Causes for Text Mining of Fire Report Kento Matsuba (Kobe Univ.), Sachio Saiki (Kochi Univ. of Tech.), Masahide Nakamura (Kobe Univ.) SC2022-41 |
Fire departments across Japan are facing the retirement of a large number of firefighters. So passing on skills and know... [more] | SC2022-41 pp.16-21 |
| ICM | 2023-03-17 10:40 |
Okinawa | Okinawa Prefectural Museum and Art Museum (Okinawa, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Introduction of trial on network design for mission-critical video contribution services Nobuaki Kadowaki, Yosuke Tanaka, Masao Nishie (NTT Com) ICM2022-54 |
Our infrastructure all over Japan has provided real-time video transmission services that delivers live video securely i... [more] | ICM2022-54 pp.55-60 |
| ET | 2023-03-15 10:45 |
Tokushima | Tokushima University (Tokushima, Online) (Primary: On-site, Secondary: Online) |
The implementation of a text analysis function using AI services on the course introduction module. Toshikazu Iitaka (Kumamoto Gakuen Univ) ET2022-83 |
The author has developed modules that are functioning on the Contents Management System. And the author has investigated... [more] | ET2022-83 pp.148-153 |
| SC | 2022-05-27 15:10 |
Online | Online (Online) | [Poster Presentation]
A Transformer for Long Medical Documents Cherubin Mugisha, Incheon Paik (UoA) SC2022-8 |
Natural language processing models are advancing technology by extracting valuable information from different datasets. ... [more] | SC2022-8 pp.43-53 |
| CQ, CS (Joint) |
2022-05-12 14:45 |
Fukui | Fukui (Fuku Pref.) (Fukui, Online) (Primary: On-site, Secondary: Online) |
Trends of Service Quality Research Derived from Study Title Analysis of CQ Committee Tatsuya Yamazaki (Niigata Univ.) CQ2022-6 |
Technical Committee on Communication Quality (the CQ Committee) started its activities around the time when the communic... [more] | CQ2022-6 pp.26-31 |
| KBSE | 2022-03-09 14:35 |
Online | Online (Zoom) (Online) | Automatic Detection of Fire Causes for Ontology Development for Automatic Understanding of Fire Situation Kento Matsuba, Masahide Nakamura (Kobe Univ.), Sachio Saiki (KUT) KBSE2021-45 |
The fire investigation report prepared by the Kobe City Fire Department contains information on the causes of the fire a... [more] | KBSE2021-45 pp.24-29 |
| NLC | 2021-09-16 10:50 |
Online | Online (Online) | A Proposal for a Browser-Based Text Mining System for Co-occurrence Network Visualization and Analysis Ryo Yasutake (Tokyo Denki Univ.), Kenichi Nonaka (Rikkyo Univ.), Masayuki Iwai (Tokyo Denki Univ.) NLC2021-9 |
In recent years, various text mining tools have been developed, such as KH Coder and the text mining tool of UserLocal. ... [more] | NLC2021-9 pp.17-19 |
| MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-01 09:20 |
Online | Online (Online) | A Comparison of Context Analysis and Estimation Methods for Mobile Users Considering the Time Series of Data Hiromi Shimizu, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.) CQ2020-107 |
Recently, the demand for analyzing mobile user’s activities has been increasing in the fields such as customer behavior ... [more] | CQ2020-107 pp.1-5 |
| NLC | 2021-02-18 10:30 |
Online | Online (Online) | Classification of disaster tweets for damage assessment, and improvement by feature analysis Yuto Oikawa, Ptaszynski Michal, Fumito Masui (KIT) NLC2020-22 |
In extracting tweets useful in rescue missions during disasters, previous research have focused on extracting tweets con... [more] | NLC2020-22 pp.7-12 |
| NLC | 2021-02-18 13:00 |
Online | Online (Online) | [Invited Talk]
History of Text Mining over a Quarter of a Century and its Future Potential Tesuya Nasukawa (IBM) NLC2020-25 |
Efforts on text mining for acquiring valuable insights from massive textual data have been growing since the middle of 1... [more] | NLC2020-25 p.23 |
| ICM | 2020-03-03 14:50 |
Okinawa | Ohama Nobumoto Memorial Hall (Okinawa) (Cancelled but technical report was issued) |
[Encouragement Talk]
Enhancement of Q&A Recommendation System for Network Support Center by Machine Learning Yuji Kojima (FUJITSU), Shinji Yamashita (FUJITSU LAB.), Kodo Ran, Yasuhiko Aoki (FUJITSU), Hiroyuki Uehara (FNETS), Manabu Wakao, Masao Hayashi (FUJITSU) ICM2019-61 |
In case of failure in network equipment, operators in network support center analyze the root cause and answer to the us... [more] | ICM2019-61 pp.111-116 |
| IA | 2019-11-15 11:00 |
Tokyo | Kwansei Gakuin University, Tokyo Marunouchi Campus (Sapia Tower) (Tokyo) | Information Retrieval with Natural Language Processing for Disease Detection using Wikipedia Database Wanchaloem Nadda, Waraporn Boonchieng, Ekkarat Boonchieng (CMU) IA2019-38 |
Nowadays, the detection of disease from symptoms is important. Some patients may not go to see a doctor when they find o... [more] | IA2019-38 pp.65-66 |
| ICM | 2019-07-12 09:50 |
Hokkaido | (Hokkaido) | Development of Q&A Recommendation System for Network Support Center by Machine Learning Shinji Yamashita (Fujitsu Lab.), Yuji Kojima, Yasuhiko Aoki (Fujitsu), Hiroyuki Uehara (Fujitsu Network Solutions), Manabu Wakao, Masao Hayashi (Fujitsu) ICM2019-17 |
In case of failure in network equipment, operators in network support center analyze the root cause and answer to the us... [more] | ICM2019-17 pp.65-70 |
| SS | 2019-03-04 14:45 |
Okinawa | (Okinawa) | Machine learning based requirements description analysis technique for creating backlogs Ryo Ishizuka, Hironori Washizaki (Waseda Univ.), Shinobu Saito, saori ouji (NTT SIC) SS2018-62 |
A large amount of demands are sent by users during systems operation. The project manager should identify the features r... [more] | SS2018-62 pp.61-66 |
| AI | 2018-12-07 13:25 |
Fukuoka | (Fukuoka) | Related Term Suggestion for Bibliographic Retrieval in Informatics Michiko Yasukawa (Gunma Univ.) AI2018-26 |
To find important research papers, users need assistance with effective search clues. We propose a novel framework of re... [more] | AI2018-26 pp.5-10 |
| NLC, IPSJ-DC | 2018-09-06 14:00 |
Tokyo | Seikei University (Tokyo) | A Hybrid Text/Data Analytics for Insight Marketing Makoto Ichise (NTT DOCOMO) NLC2018-14 |
This research presentation is the most important content to utilize the value at voice of customer's(VoC). We just doin... [more] |
NLC2018-14 pp.31-36 |
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