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- W2553089092 abstract "Internet-based social media platforms allow individuals to discuss/comment on the of an article in an interactive manner. The topic of a comment/reply in these discussions occasionally shifts, sometimes drastically and abruptly, other times slightly, away from the topic of the article. In this paper we study the phenomena of topic shifts in article-originated social media comments, and identify quantitatively the effects on topic shifts of comments (i) emotion levels (of various emotion dimensions), (ii) topic areas, and (iii) the structure of the discussion tree. We show that, with a better understanding of the topic shift phenomena in comments, automated systems can easily be built to personalize and cater to the comment-browsing and comment-viewing needs of different users." @default.
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- W2553089092 date "2016-08-18" @default.
- W2553089092 modified "2023-10-17" @default.
- W2553089092 title "Emotion -and area- driven topic shift analysis in social media discussions" @default.
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- W2553089092 doi "https://doi.org/10.5555/3192424.3192520" @default.
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