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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 210 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
HCGSYMPO
(2nd)
2021-12-15
- 2021-12-17
Online Online Proposal of classification method based on the usefulness of Twitter account in student job hunting
Yuasa Takeo, Kunieda Yositosi (Ritsumeikan Univ)
With the spread of coronavirus infection, it has become difficult to collect information face-to-face with students who ... [more]
AI 2021-12-13
13:25
Fukuoka Aimattain Hakata station
(Primary: On-site, Secondary: Online)
AI2021-6 (To be available after the conference date) [more] AI2021-6
pp.29-34
ICTSSL, IEE-SMF, IN 2021-10-21
10:15
Online Online Analysis of COVID-19 Vaccine-Related Tweets
Keisuke Utsu, Osamu Uchida (Tokai Univ.) ICTSSL2021-21
The novel coronavirus disease (COVID-19) has spread and had long-term impacts. Japan is pressing ahead with its vaccinat... [more] ICTSSL2021-21
pp.18-23
ICTSSL, IEE-SMF, IN 2021-10-22
10:15
Online Online Proposal of Twitter Classification and Visualization System by Sentiment Analysis -- Development of "Twi-Pass" as A Prototype System --
Taira Miyazaki, Munenari Inoguchi (Univ. of Toyama) ICTSSL2021-25
In recent years, almost people use SNS (social network media) due to the spread of the Internet. This caused that slande... [more] ICTSSL2021-25
pp.42-47
NLC 2021-09-16
15:50
Online Online Early detection of false information on Twitter by deep learning with sequential data of user and text
Kohei Suto, Jianwei Zhang (Iwate Univ.) NLC2021-14
The spread of false information has become a problem in the development of SNS in recent years. False information may ha... [more] NLC2021-14
pp.34-39
DE 2021-07-24
10:20
Kanagawa KAIT IT extension center (Hybrid)
(Primary: On-site, Secondary: Online)
[Short Paper] COVID-19 and biased information dissemination on Twitter
Gefei Li (AIST/Waseda Univ.), Yijun Duan, Taehoon Kim, Kyoungsook Kim (AIST) DE2021-4
This study aims to examine if Twitter users with a higher level of similarity would have a more similar distribution of ... [more] DE2021-4
pp.18-21
DE 2021-07-24
11:45
Kanagawa KAIT IT extension center (Hybrid)
(Primary: On-site, Secondary: Online)
Classification of local behavioral facilitation information based on local-source and target-people
Futo Yamamoto (Konan Univ.), Suzuki Yu (Gifu Univ.), Akiyo Nadamoto (Konan Univ.) DE2021-8
(To be available after the conference date) [more] DE2021-8
pp.40-45
DE 2021-07-24
13:05
Kanagawa KAIT IT extension center (Hybrid)
(Primary: On-site, Secondary: Online)
Examination of personalization improvement of spot recommendation system considering personality characteristics
Momo Ito (Ochanomizu Univ.), Miki Enoki (IBM Research - Tokyo), Masato Oguchi (Ochanomizu Univ.) DE2021-9
(To be available after the conference date) [more] DE2021-9
pp.46-51
DE 2021-07-24
13:45
Kanagawa KAIT IT extension center (Hybrid)
(Primary: On-site, Secondary: Online)
Social Emotional Change Estimation using Twitter
Fujio Toriumi (UT), Michimasa Inaba (UEC) DE2021-11
In this paper, we developed a new emotion estimation model using BERT to extract social emotions from Twitter.
The accu... [more]
DE2021-11
pp.58-62
LOIS, IPSJ-DC 2021-07-15
13:00
Online Online A Study of Values Extraction in an Open Community for the Purpose of Grasping Social Trends
Keita Suzuki, Shigeru Fujimura, Shigenori Ohashi, Atsushi Nakadaira (NTT) LOIS2021-12
In recent years, the spread of the Internet has created an environment where users can speak out on online platforms, an... [more] LOIS2021-12
pp.1-5
ICTSSL 2021-05-28
13:05
Online Online Analysis of COVID-19 Related Tweets by Prefectural Governors in Japan and Their Reactions
Keisuke Utsu, Atsushi Okazaki, Osamu Uchida (Tokai Univ.) ICTSSL2021-1
Twitter, one of the social media services, has been used as one of the tools for sharing information provided by public ... [more] ICTSSL2021-1
pp.1-6
ICTSSL 2021-05-28
13:30
Online Online Glocal Disaster Monitoring System by Using Satellite Images and Social Media Data
Osamu Uchida (Tokai Univ.), Ryoji Yamaguchi (FutureBase), Kohei Cho (Tokai Univ.) ICTSSL2021-2
Nowadays, the Internet and smartphones are widespread and it is easy to transmit and share information. In addition, the... [more] ICTSSL2021-2
pp.7-10
HCS, HIP, HI-SIGCOASTER [detail] 2021-05-24
09:45
Online Online Presentation of Multiple Interpretted Nuances of a Tweet for Stimulating Twitter Communication
Yuichi Okada, Kensei Oyamada, Tomoko Yonezawa (Kansai Univ.) HCS2021-2 HIP2021-2
We propose a system that presents word candidates (nuance words) that express the image of the original tweet when the u... [more] HCS2021-2 HIP2021-2
pp.5-10
HCS 2021-03-15
11:00
Online Online University Students' Use of Twitter and Video Games -- From the Perspective of Their Online Behaviors --
Itsuki Tsuboi, Shaoyu Ye (Univ. of Tsukuba) HCS2020-69
(To be available after the conference date) [more] HCS2020-69
pp.12-17
LOIS 2021-03-04
13:00
Online Online Twitter analysis in the 2019 House of Councilors election
Kosuke Ariya, Eiichi Umehara (Tokyo City Univ.) LOIS2020-47
We analyzed Twitter of the House of Councilors Election in 2019. We investigated opinions on Twitter, retweet network an... [more] LOIS2020-47
pp.1-5
MVE, IMQ, IE, CQ
(Joint) [detail]
2021-03-01
11:10
Online Online Preference Analysis of Shopping Malls' Followers and Text Recommendation on Twitter
Mantaro Yamada, Xueting Wang, Toshihiko Yamasaki (Univ. of Tokyo) IMQ2020-11 IE2020-51 MVE2020-43
In this work, we analyze preference features of shopping malls' followers by focusing on their following and like behavi... [more] IMQ2020-11 IE2020-51 MVE2020-43
pp.7-12
AI 2021-02-22
10:30
Online Online AI2020-39 (To be available after the conference date) [more] AI2020-39
pp.1-6
AI 2021-02-22
10:50
Online Online AI2020-40 (To be available after the conference date) [more] AI2020-40
pp.7-12
NLC 2021-02-18
10:30
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
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
17:05
Online Online A Note on Prediction of Important Scenes in Baseball Videos via Multimodal Variational Autoencoder Using Tweets and Videos
Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a prediction method of important scenes in baseball videos based on multimodal variational autoencod... [more]
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