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- W2524014781 abstract "People around the world use social network sites such as Twitter or Facebook to share messages on any topic, including emotionally charged and educationally relevant messages. As such, social network sites afford a novel methodological approach of potential benefit to researchers who examine the theoretical and empirical implications of the emotions reported by teachers and students in educational settings. This chapter provides an overview of methodological approaches for mining social network sites for content concerning the role of emotions in education, reviews relevant literature in this domain, and provides examples as to how educational researchers can employ these techniques in their own research." @default.
- W2524014781 created "2016-10-07" @default.
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- W2524014781 date "2016-01-01" @default.
- W2524014781 modified "2023-09-27" @default.
- W2524014781 title "Understanding Emotional Expressions in Social Media Through Data Mining" @default.
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- W2524014781 doi "https://doi.org/10.1016/b978-0-12-801857-6.00005-1" @default.
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