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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NS, IN (Joint) |
2024-02-29 10:10 |
Okinawa | Okinawa Convention Center | A Study on Detection of Flaming in SNS Video using Sentiment Analysis and Principal Component Analysis Tomonori Taniguchi, Hiroyasu Obata, Chisa Takano (Hiroshima City Univ.)  IN2023-79 |
In resent years, with the spread of Social Networking Service (SNS), a phenomenon called flaming in which many slander c... [more] | IN2023-79 pp.83-88 |
| NLC | 2023-09-06 13:45 |
Osaka | Osaka Metropolitan University. Nakamozu Campus. (Primary: On-site, Secondary: Online) |
An Investigation of the Performance of Large-scale Generative Language Models on Subjective and Objective Emotion Estimation Mizuki Tada, Makoto Okada, Naoki Mori (Osaka Metropolitan Univ.) NLC2023-2 |
The cost of annotating datasets is often an issue in natural language processing tasks. One way to reduce costs is to us... [more] | NLC2023-2 pp.7-11 |
| NLC | 2023-09-06 15:30 |
Osaka | Osaka Metropolitan University. Nakamozu Campus. (Primary: On-site, Secondary: Online) |
Rating Prediction of Multi-aspect Reviews Using Multi-task Learning Framework Masaki Takeo, Shinnosuke Kawasaki, Kazutaka Shimada (Kyutech) NLC2023-4 |
In this paper, we propose a method for rating prediction tasks in review documents. Existing models for predicting the ... [more] |
NLC2023-4 pp.18-23 |
| NLC | 2023-09-07 15:55 |
Osaka | Osaka Metropolitan University. Nakamozu Campus. (Primary: On-site, Secondary: Online) |
Sentiment-based correction and interpretation of the diffusion index Wanwan Zheng (Nagoya Univ.) NLC2023-12 |
Reading economic indices is common when assessing economic conditions. In recent years, however, many studies have been ... [more] | NLC2023-12 pp.63-68 |
| IN, NS (Joint) |
2023-03-03 13:30 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
Emotion transmission system in online meeting Haruna Taguchi, Ryoichi Kawahara (Toyo Univ.) IN2022-122 |
In recent years, due to influence of COVID-19, the frequency of online meetings has increased dramatically. However, whe... [more] | IN2022-122 pp.335-340 |
| HCS | 2023-01-22 14:05 |
Kyoto | Kyoto Institute of Technology (Primary: On-site, Secondary: Online) |
Analysis of Role of Multimodal Information and Physiological Signals in Self-Reported and Third-Party Sentiment Estimation Shun Katada, Shogo Okada (JAIST), Kazunori Komatani (Osaka Univ.) HCS2022-70 |
A dialogue system needs to adapt its utterance by estimating a user's internal state. Most of the previous multimodal se... [more] | HCS2022-70 pp.86-91 |
| HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa | Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Self-reported sentiment estimation with attention mechanism based on time-series physiological signals and word sequences Shun Katada, Shogo Okada (JAIST), Kazunori Komatani (Osaka Univ.) |
One of the main issues in the development of an adaptive dialogue system is to estimate a user's sentiment state in real... [more] | |
| HCS | 2022-10-27 16:10 |
Online | Online | Emotion and personality estimation of utterances in a dialogue model reflecting Individuality Daiki Mori, Kazuyuki Matsumoto (Tokushima Univ.), Sasayama Manabu (NIT Kagawa), Yoshida Minoru, Kita Kenji (Tokushima Univ.) HCS2022-54 |
One of the factors that enable humans to interact with AI in a more friendly manner is personality, and since the person... [more] | HCS2022-54 pp.34-38 |
| 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 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 11:40 |
Online | Online | English Situation-dependent Sentiment Polarity Dictionary Toshiki Matsumura, Atsushi Takada (UTokyo), Yoshinobu Kano (Shizuoka Univ.), Toshihiko Yamasaki (UTokyo) ITS2021-49 IE2021-58 |
An sentiment polarity dictionary is indispensable for reputation and sentiment analysis using Social Network Services (S... [more] | ITS2021-49 IE2021-58 pp.145-150 |
| NC, MBE (Joint) |
2021-11-26 16:15 |
Online | Online | Deep Learning Hybrid Models for Sentiment Analysis Yunpeng Rong, Jun Ohkubo (Saitama Univ.) NC2021-30 |
Sentiment analysis (SA), which can analyze the public attitudes towards various texts, has earned increasing attention f... [more] | NC2021-30 pp.13-17 |
| 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 | 2021-02-18 16:05 |
Online | Online | Sarcasm Detection with Japanese Wikipedia Entity Vector Xu Xufei, Hiai Satoshi, Shimada Kazutaka (KIT) NLC2020-27 |
In recent years, the task of detecting sarcasm has been tackled in many studies. Sarcasm detection is important for unde... [more] | NLC2020-27 pp.25-30 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2021-02-18 16:40 |
Online | Online | A note on improvement of image sentiment analysis based on introduction of image captioning Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Recently, with the popularization of social network services, the images uploaded by users have been increasing. Users t... [more] | |
| PRMU | 2020-12-17 11:15 |
Online | Online | A Novel Data Augmentation Framework Based on SeqGAN for Sentiment Analysis Jiawei Luo, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.) PRMU2020-43 |
Sentiment analysis is an important field in Natural Language Processing (NLP). It can analyze people's sentiment through... [more] | PRMU2020-43 pp.30-35 |
| MVE | 2020-09-09 11:35 |
Online | Online | On modelling viewer sentiment of social media videos for attractive computing Marc A. Kastner, Shin'ichi Satoh (NII) MVE2020-14 |
An understanding of human perception and sentiment can help with multimedia tasks like video recommendations. Having a m... [more] | MVE2020-14 pp.21-26 |
| RISING (2nd) |
2019-11-27 13:55 |
Tokyo | Fukutake Learning Theater, Hongo Campus, Univ. Tokyo | [Poster Presentation]
A Study on Interpretation of Review Classification by SVM and DNN Kosuke Nakamura, Saneyasu Yamaguchi (Kogakuin Univ.) |
Deep learning has achieved significant improvement in various tasks such as natural language processing. However, it is ... [more] | |
| NLC, IPSJ-DC | 2019-09-28 09:30 |
Tokyo | Future Corporation | Sentiment analysis of participants in the sweepstakes campaign by text-mining of twitter Yuki Yamashita, Kosuke Yoshino, Rin Komatsu, Masanao Ochi, Gaia Suzuki, Yukie Nakamoto (UTokyo), Takeshi Sakaki (hottolink), Kimitaka Asatani, Ichiro Sakata (UTokyo) NLC2019-17 |
In this few years, prize contests as advertising on SNS came to be seen. Yusaku Maezawa, the president of ZOZO,inc., hel... [more] | NLC2019-17 pp.47-51 |
| NLC, IPSJ-DC | 2019-09-28 16:50 |
Tokyo | Future Corporation | Semi-supervised learning for sentiment analysis by using Triple-GAN Jincheng Yang, Rui Cao, Jing Bai, Wen Ma, Hiroyuki Shinnou (Ibaraki Univ.) NLC2019-26 |
GAN has become an effective method in the field of image,but in the field of NLP,It's difficult to design a generation ... [more] |
NLC2019-26 pp.99-102 |
| HCS | 2019-08-23 16:15 |
Osaka | Jikei Institute | Estimating Exchange-level Annotations with Multitask Learning for Multimodal Dialogue Systems Yuki Hirano, Shogo Okada (JAIST), Haruto Nishimoto, Kazunori Komatani (Osaka Univ.) HCS2019-32 |
This study presents multimodal computational modeling for estimating three labels: user's interest label, user's sentim... [more] |
HCS2019-32 pp.15-20 |
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