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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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| 発行・発表の年月 | 2023/02 |
| 形態種別 | 研究論文 |
| 標題 | A city-wide examination of fine-grained human emotions through social media analysis |
| 執筆形態 | その他 |
| 掲載誌名 | PLOS ONE |
| 出版社・発行元 | Public Library of Science (PLoS) |
| 巻・号・頁 | 18(2),e0279749-e0279749頁 |
| 著者・共著者 | Panote Siriaraya,Yihong Zhang,Yukiko Kawai,Peter Jeszenszky,Adam Jatowt |
| 概要 | The proliferation of Social Media and Open Web data has provided researchers with a unique opportunity to better understand human behavior at different levels. In this paper, we show how data from Open Street Map and Twitter could be analyzed and used to portray detailed Human Emotions at a city wide level in two cities, San Francisco and London. Neural Network classifiers for fine-grained emotions were developed, tested and used to detect emotions from tweets in the two cites. The detected emotions were then matched to key locations extracted from Open Street Map. Through an analysis of the resulting data set, we highlight the effect different days, locations and POI neighborhoods have on the expression of human emotions in the cities. |
| DOI | 10.1371/journal.pone.0279749 |
| ISSN | /1932-6203 |
| PermalinkURL | https://dx.plos.org/10.1371/journal.pone.0279749 |