Faculty of Information and Human Science, Kyoto Institute of Technology, Kyoto, Japan.
Multimedia Data Engineering Lab, Osaka University, Osaka, Japan.
PLoS One. 2023 Feb 1;18(2):e0279749. doi: 10.1371/journal.pone.0279749. eCollection 2023.
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.
社交媒体和开放网络数据的普及为研究人员提供了一个独特的机会，可以更好地了解不同层次的人类行为。在本文中，我们展示了如何分析和使用来自 Open Street Map 和 Twitter 的数据，以在两个城市旧金山和伦敦的全市范围内描绘详细的人类情绪。我们开发、测试了用于细粒度情绪的神经网络分类器，并将其用于检测两个城市的推文中的情绪。然后将检测到的情绪与从 Open Street Map 提取的关键位置进行匹配。通过对所得数据集的分析，我们强调了不同的日子、地点和 POI 社区对城市中人类情绪表达的影响。
