On the Relationship Between Crowdsourced Sentiments and Mobility Trends During COVID-19: A Case Study of Kyoto

Author:

Sun Wenzhe,Kobayashi Hironori,Nakao Satoshi,Schmöcker Jan-Dirk

Funder

Strategic International Collaborative Research Program

Publisher

Springer Science and Business Media LLC

Reference41 articles.

1. Abdullah M, Dias C, Muley D, Shahin M (2020) Exploring the impacts of COVID-19 on travel behavior and mode preferences. Transp Res Interdiscip Perspect 8:100255

2. Benjamins R, Vos J, Verhulst S (2022) Mobile big data in the fight against COVID-19. Data Policy 4:E9. https://doi.org/10.1017/dap.2021.39

3. Bi M, Sun W, Schmöcker JD, Ma Y, Moya-Gómez B, Nakao S, Yamada T (2023) Using geo-tagged tweets for understanding temporal and spatial activity distributions in Kyoto. In: The 15th international conference of Eastern Asia Society for transportation (EASTS 2023), Kuala Lumpur, Malaysia

4. Bonta V, Janardhan NKN (2019) A comprehensive study on lexicon based approaches for sentiment analysis. Asian J Comput Sci Technol 8(S2):1–6

5. Castillo C, Mendoza M, Poblete B (2011) Information credibility on Twitter. In: Proceedings of the 20th international conference on world wide web. Hyderabad, India, pp 675–684

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