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- W2293498678 abstract "Shifts in emotions towards given topics on social media are often related to momentous real world events, and for the researcher or journalist, such changes may be the first observable sign that something interesting is going on. Further research on why a topic t suddenly has become, say, more or less popular, may involve searching for topics (t') whose co-occurrence with t have increased significantly together with the change in emotion. We hypothesize that (t') and its increasing relationship to t may relate to a contributing cause why the attitude towards t is changing. A method and tool is presented that monitors a stream of messages, reporting topics with changing emotions and indicating explanations by means of related topics whose increasing occurrence are taken as possible clues of why the change did happen." @default.
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- W2293498678 date "2015-01-01" @default.
- W2293498678 modified "2023-09-27" @default.
- W2293498678 title "Tracing Shifts in Emotions in Streaming Social Network Data" @default.
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- W2293498678 doi "https://doi.org/10.1007/978-3-319-25252-0_31" @default.
- W2293498678 hasPublicationYear "2015" @default.
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