Publications
カンファレンス (国際) Revealing Universities’ Atmosphere from Visitor Interests Using Search Queries and GPS Logs
Kaoru Miyanaga (Institute of Science Tokyo), Soto Anno (Institute of Science Tokyo), Kota Tsubouchi, Masamichi Shimosaka (Institute of Science Tokyo)
2024 IEEE International Conference on Big Data (IEEE BigData 2024)
2024.12.15
When visiting universities, you might notice the distinctive atmospheres of each university, such as a calm and serious environment or a lively enthusiasm for sports. Capturing these atmospheres could help in promoting universities and fostering development in the communities around the universities. To explore the atmospheres of universities, we analyze the thoughts and interests of university community members, such as students and faculty members. Specifically, we use a large-scale dataset derived from search queries and GPS logs to quantify visitors’ interests. Additionally, to extract the meaningful atmospheres of universities, we apply topic modeling to the dataset.