[1I4-GS-4c] Webインテリジェンス：SNS

[1I4-GS-4c-01] Twitter Analysis of Topics about COVID-19 and Relationship with Infection Status

〇Fumito Ihara¹, Daiki Kishimoto¹, Satoshi Kurihara¹ (1. Faculty of Science and Technology, Keio University)

Keywords:Social Network, COVID-19

Infection with COVID-19 has been confirmed in almost all countries and regions including Japan. Under these circumstances, it is important to measure people’s awareness and willingness to go out. In this study, we analyzed the changes on Twitter from various perspectives. As a result, we found that people’s interest gradually diminished from the first wave to the third wave, as shown by the decrease in the frequency of tweets and the amount of retweets. In addition, there were qualitative content differences in the tweet tendency when comparing with the period of infection.