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- W4376608086 abstract "In the era of COVID-19, online teaching has gradually become an indispensable part of the education systems in countries around the world and a major direction of research for educators. This emerging educational approach has both advantages and disadvantages. In the absence of observing students’ learning status and emotions, the assessment of students’ learning emotions as well as class efficiency have become a major challenge. This paper used Chinese international education class videos as the data source and adopted a semi-automatic method to construct a student emotion data-set, which can overcome the difficulty of insufficient class teaching video resources and fill the gap of student emotion data in international Chinese education online class. Also, this paper creatively used a segmentation method to research students’ emotions within each teaching behavior segment, which would provide a reference for future research on students’ emotion analysis and teaching behavior." @default.
- W4376608086 created "2023-05-17" @default.
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- W4376608086 date "2023-01-01" @default.
- W4376608086 modified "2023-10-11" @default.
- W4376608086 title "Video-Based Sentiment Analysis of International Chinese Education Online Class" @default.
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- W4376608086 doi "https://doi.org/10.1007/978-981-99-2449-3_21" @default.
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