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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| 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 |
| 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] | |
| 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 |
| DE | 2016-06-18 10:00 |
Tokyo | Rakuten Crimson House | Sentiment Analysis on Publicly-Posted SNS Contents Yanhan Liang, Basilisa Mvungi, Mizuho Iwaihara (Waseda Univ.) DE2016-2 |
With the rapid development of Social Network Services (SNSs), people have begun to express their opinions on Facebook an... [more] | DE2016-2 pp.7-12 |
| ASN | 2016-05-12 10:50 |
Tokyo | [Encouragement Talk]
A Novel Approach for Multi-Class Sentiment Analysis in Twitter Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.) ASN2016-3 |
Many works were conducted on the automatic sentiment analysis and opinion mining. However, most of these works were orie... [more] | ASN2016-3 pp.13-18 |
|
| MICT, ASN, MoNA (Joint) |
2016-01-29 09:50 |
Kanagawa | Hotel Okada | Multi-Class Sentiment Analysis in Twitter: a Pattern-Based Approach Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.) ASN2015-89 |
Many works were conducted on the automatic sentiment analysis and opinion mining. However, most of these works were orie... [more] | ASN2015-89 pp.57-62 |
| RCC, ASN, RCS, NS, SR (Joint) |
2015-07-29 09:25 |
Nagano | JA Naganoken Bldg. | Sarcasm Detection
-- How to Identify Sarcastic Statements in Twitter -- Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.) ASN2015-21 |
Sarcasm is a special form of speech by which the person conveys implicit information, within the message he transmits. S... [more] | ASN2015-21 pp.7-12 |
| MICT, ASN, MoNA (Joint) |
2015-01-26 13:55 |
Wakayama | Nanki Shirahama | Sentiment Analysis in Twitter for Multiple Topics
-- How to Detect the Polarity of Tweets Regardless of Their Topic -- Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.) ASN2014-122 |
Being one of the biggest web destinations for people to express their opinions, share their experience and report real-t... [more] | ASN2014-122 pp.91-96 |
| DE | 2012-08-02 16:00 |
Aichi | Nagoya University | Semi-supervised Sentiment Classification in Resource-Scarce Language: A Comparative Study Yong Ren, Nobuhiro Kaji, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa (Univ. of Tokyo) DE2012-26 |
With the advent of consumer generated media (e.g., Amazon reviews, Twitter, etc.), sentiment classification becomes a he... [more] | DE2012-26 pp.59-64 |
| NLC | 2009-01-27 10:00 |
Okayama | Instance Weighting for Utilizing Automatically Constructed Corpus and its Application to Sentiment Classification Tetsuji Nakagawa, Kentaro Inui (NICT), Sadao Kurohashi (Kyoto Univ.) NLC2008-75 |
In this paper, we present a method to utilize automatically collected labeled data for improving sentiment classificatio... [more] | NLC2008-75 pp.25-30 |
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