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Political Honeymoon Effect on Social Media: Characterizing Social Media Reaction to the Changes of Prime Minister in Japan.

, , , , , , and . WebSci, page 1-12. ACM, (2023)

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Syndromic surveillance using search query logs and user location information from smartphones against COVID-19 clusters in Japan., , , , , , and . CoRR, (2020)Complaints with Target Scope Identification on Social Media., , , , and . Informatica (Slovenia), (2023)NTCIR13 MedWeb Task: multi-label classification of tweets using an ensemble of neural networks., , , , , , , and . NTCIR, National Institute of Informatics (NII), (2017)Political Honeymoon Effect on Social Media: Characterizing Social Media Reaction to the Changes of Prime Minister in Japan., , , , , , and . WebSci, page 1-12. ACM, (2023)Fredformer: Frequency Debiased Transformer for Time Series Forecasting., , , , and . KDD, page 2400-2410. ACM, (2024)Annotation-Scheme Reconstruction for "Fake News" and Japanese Fake News Dataset., , , , and . LREC, page 7226-7234. European Language Resources Association, (2022)Mitigation of Diachronic Bias in Fake News Detection Dataset., , and . W-NUT, page 182-188. Association for Computational Linguistics, (2021)Identifying A Target Scope of Complaints on Social Media., , , , and . SoICT, page 111-118. ACM, (2022)Single Model for Influenza Forecasting of Multiple Countries by Multi-task Learning., , and . ECML/PKDD (4), volume 12978 of Lecture Notes in Computer Science, page 335-350. Springer, (2021)Linguistic Landscape of Generative AI Perception: A Global Twitter Analysis Across 14 Languages., , , and . CoRR, (2024)