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カワイ ユキコ
KAWAI YUKIKO
河合 由起子 所属 京都産業大学 情報理工学部 情報理工学科 職種 教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2017/07/04 |
| 形態種別 | 研究論文（国際会議プロシーディングス） |
| 査読 | 査読あり |
| 標題 | Exploring cross-cultural crowd sentiments on Twitter |
| 執筆形態 | その他 |
| 掲載誌名 | HT 2017 - Proceedings of the 28th ACM Conference on Hypertext and Social Media |
| 出版社・発行元 | Association for Computing Machinery, Inc |
| 巻・号・頁 | pp.321-322 |
| 著者・共著者 | Yuanyuan Wang,Muhammad Syafiq Mohd Pozi,Yukiko Kawai,Adam Jatowt,Toyokazu Akiyama |
| 概要 | Twitter is frequently used to express personal opinions and sentiments. This work presents a novel crowd sentiment analysis of Twitter for exploring cross-cultural differences. We aim to find similar meanings but different sentiments between Twitter data collected over diverse geographic places. For this, we detect sentiments and topics of each tweet and assign sentiments to each topic based on the sentiments of the corresponding tweets. This permits finding interesting cross-cultural patterns.We demonstrate a visualization system that supports the interactive analysis of two countries: France and Italy. |
| DOI | 10.1145/3078714.3078749 |
| DBLP ID | conf/ht/WangPKJA17 |
| PermalinkURL | http://dblp.uni-trier.de/db/conf/ht/ht2017.html#conf/ht/WangPKJA17 |