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Titlebook: Advances in Social Media Analysis; Mohamed Medhat Gaber,Mihaela Cocea,Ayse Goker Book 2015 Springer International Publishing Switzerland 2

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https://doi.org/10.1007/978-3-319-18458-6Affective Computing; Computational Intelligence; Intelligent Techniques; Sentiment Analysis; Social Medi
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978-3-319-35618-1Springer International Publishing Switzerland 2015
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Studies in Computational Intelligencehttp://image.papertrans.cn/a/image/149730.jpg
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Models in Environmental Planning, are much more diverse, and it is interesting to study how to define a more complete set of emotions and how to deduce these emotions from human-written messages. In this book chapter we argue that using Plutchik’s wheel of emotions model and a rule-based approach for emotion detection in text makes
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Computer Models for Speech Understanding,ly discover stories and eye-witness accounts. We present a technique that detects “bursts” of phrases on Twitter that is designed for a real-time topic-detection system. We describe a time-dependent variant of the classic . approach and group together bursty phrases that often appear in the same mes
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https://doi.org/10.1007/978-3-319-63504-0nd centred on entity and event recognition. We examine a particular use case, which is to help archivists select material for inclusion in an archive of social media for preserving community memories, moving towards structured preservation around semantic categories. The textual approach we take is
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