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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 210  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
DE, IPSJ-DBS, IPSJ-IFAT [detail] 2023-09-21
13:30
Fukuoka Kitakyushu International Conference Center Improving the Performance of Toxic Comments Prediction by Adjusting the Level of Personalization Appropriate to Comments
Teruki Nakahara, Taketoshi Ushiama (Kyushu Univ.) DE2023-11
When reading news articles on social networking services and news sites, readers can view comments marked by other peopl... [more] DE2023-11
pp.1-6
CQ, MIKA
(Joint)
(2nd)
2023-08-30
16:20
Fukushima Tenjin-Misaki Sports Park [Poster Presentation] Analysis of occurrence patterns in retweets without explicit diffusion paths focusing on the distance between users
Yuto Tamura, Sho Tsugawa (Tsukuba Univ.), Kohei Watabe (NUT)
On social media, it is conceivable that information diffusion is facilitated by the recurrent actions of users who engag... [more]
ICTSSL 2023-07-28
10:50
Kumamoto
(Primary: On-site, Secondary: Online)
Effectiveness Verification of Disaster Detection and Information Dissemination Using Twitter for Emergency Rescue Evacuation Support System
Tomotaka Wada, Ibu Futagi (Kansai Univ.), Kazuhiro Ohtsuki (Kobe Univ.) ICTSSL2023-21
In this study, we evaluate the effectiveness of SNS cooperation in disaster detection and information sharing in the Eme... [more] ICTSSL2023-21
pp.41-46
ICTSSL 2023-07-28
11:15
Kumamoto
(Primary: On-site, Secondary: Online)
Characteristic Analysis of Traffic Disruption Tweets Posted During Severe Snowfalls
Toshihiro Rokuse, Keisuke Utsu, Osamu Uchida (Tokai Univ.) ICTSSL2023-22
Rapid and accurate information gathering and dissemination is essential to minimize damage in a large-scale disaster. Ag... [more] ICTSSL2023-22
pp.47-52
ICTSSL 2023-07-28
11:40
Kumamoto
(Primary: On-site, Secondary: Online)
Analysis of Tweets About Russian Military Invasion of Ukraine
Keisuke Utsu, Misaki Oyama, Osamu Uchida (Tokai Univ.) ICTSSL2023-23
The military invasion of Ukraine by Russian forces, which began on February 24, 2022, has had a significant impact aroun... [more] ICTSSL2023-23
pp.53-58
ICTSSL 2023-05-19
09:20
Niigata
(Primary: On-site, Secondary: Online)
Characteristics analysis of tweets posted during the 2022 heavy snow disaster.
Toshihiro Rokuse, Keisuke Utsu, Uchida Osamu (Tokai Univ.) ICTSSL2023-8
In the event of a large-scale disaster, rapid and accurate information gathering and dissemination is essential to minim... [more] ICTSSL2023-8
pp.41-46
LOIS 2023-03-13
16:35
Okinawa
(Primary: On-site, Secondary: Online)
Lifelog Data Analyses of SNS Users Based on Supervised Learning to Forecast the Number of Bookmarks of A Post
Komei Arasawa, Shun Matsukawa, Nobuyuki Sugio, Naofumi Wada, Hiroki Matsuzaki (Hokkaido Univ. of Sci.) LOIS2022-56
It is an important issue to establish how to produce and transmit a post that triggers people's interest, in marketing a... [more] LOIS2022-56
pp.72-76
HCS 2023-03-03
09:30
Shizuoka Tokoha University(KusanagiCampus)
(Primary: On-site, Secondary: Online)
A Qualitative Examination of College Students' Twitter Usage Purposes during the COVID-19 Pandemic -- Comparison by Posting Frequency --
Ai Fukuzawa (Tokyo Univ), Ye Shaoyu (Tsukuba Univ) HCS2022-90
We interviewed college students about the frequency of their Twitter posts, the content of their posts, and how they dea... [more] HCS2022-90
pp.82-87
ICTSSL, CAS 2023-01-26
10:45
Tokyo TBD
(Primary: On-site, Secondary: Online)
On a social game recommendation system using collaborative filtering with Julia
Yoshiaki Shinjo, Ami Ukai, Hitoshi Miyamoto, Shun Nanai, Shunsuke Ohata, Takuto Ono, Tomoki Akiyama, Kotarou Naitou, Kazuya Ozawa, Hideaki Okazaki (SIT) CAS2022-64 ICTSSL2022-28
In this report, we consider and discuss how to build a social game recommendation system using collaborative filtering w... [more] CAS2022-64 ICTSSL2022-28
pp.14-17
CW
(2nd)
2022-12-16     Analysis of Twitter trends with momentum of subjects
Ryo Manabe, Takashi Hanagaki, Shoya Yamazaki, Jun Iio (Chuo Univ.)
This research is the analysis targeting trends formed on Twitter, with the addition of the momentum of each trending top... [more]
ICTSSL, IN, NWS, IEE-SMF 2022-10-28
15:20
Nagano Shinshu University
(Primary: On-site, Secondary: Online)
Characteristic Analysis of Tweets Posted When Information on a Record-breaking Deluge in a Short Period was Announced
Toshihiro Rokuse, Osamu Uchida (Tokai Univ.) ICTSSL2022-23
In the event of a large-scale disaster, prompt and accurate information gathering and dissemination is critical to minim... [more] ICTSSL2022-23
pp.33-38
DE, IPSJ-DBS, IPSJ-IFAT [detail] 2022-09-09
14:50
Toyama Toyama Prefectural Hall
(Primary: On-site, Secondary: Online)
Extraction of Behavioral Facilitation Information based on Sentiments
Futo Yamamoto (Konan Univ.), Tadahiko Kumamoto (CIT), Akiyo Nadamoto (Konan Univ.) DE2022-11
(To be available after the conference date) [more] DE2022-11
pp.24-29
AI 2022-07-04
11:10
Hokkaido
(Primary: On-site, Secondary: Online)
AI2022-4 (To be available after the conference date) [more] AI2022-4
pp.19-24
CW
(2nd)
2022-06-24 Tokyo
(Primary: On-site, Secondary: Online)
Analysis of trend momentum on Twitter
Ryo Manabe, Shoya Yamazaki, Takahi Hanagaki, Jun Iio (Chuo Univ.)
This research is an attempt to compare and analyze Twitter trends by focusing on the momentum of each trend topics. To q... [more]
DE 2022-06-25
11:20
Tokyo Musashino University
(Primary: On-site, Secondary: Online)
Estimating tweet directivity using linguistic features
Hidenori Kiyomoto, Kongmeng Liew, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki (NAIST) DE2022-4
With the Covid-19 pandemic, governments and local authorities are often required to provide accurate and prompt informat... [more] DE2022-4
pp.19-24
SC 2022-05-27
15:31
Online Online [Poster Presentation] Performance Evaluation of Twitter Classification on Pre-Trained Model by Word Embeddings
Haruki Kimura, Incheon Paik (UoA) SC2022-15
The Internet is used as social infrastructure to such an extent that modern society would not be possible without it. Wi... [more] SC2022-15
pp.88-92
HCS, HIP, HI-SIGCOASTER [detail] 2022-05-15
10:25
Okinawa Okinawa Industry Support Center
(Primary: On-site, Secondary: Online)
A quantitative text analysis of Twitter -- Tweets about alternative account for posting negative emotion --
Chiharu Suzuki (Ritsumeikan Univ.) HCS2022-2 HIP2022-2
“Yami-aka” is internet slang which means social networking accounts used for posting extremely negative emotion. In this... [more] HCS2022-2 HIP2022-2
pp.7-12
CQ, CS
(Joint)
2022-05-12
09:50
Fukui Fukui (Fuku Pref.)
(Primary: On-site, Secondary: Online)
Analysing Relation between Influence of Twitter Business Accounts and their Ego Network Structure
Yuto Nakamitsu, Sho Tsugawa, Keiichirou Tsukamoto, Shintaro Igari () CQ2022-1
We exploratory investigate the relation between the influence of Twitter
users and the characteristics of their ego ne... [more]
CQ2022-1
pp.1-6
IN 2022-01-18
13:00
Online Online Proposal of a Twitter account usefulness judgment system for job hunting measures for students
Yuasa Takeo, Kunieda Yoshitoshi (Ritsumeikan Univ.) IN2021-26
With the spread of coronavirus infection, it has become difficult to collect information face-to-face with students who ... [more] IN2021-26
pp.13-18
 Results 1 - 20 of 210  /  [Next]  
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