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Predicting Emotional Reaction in Social Networks

Clos, Jérémie and Bandhakavi, Anil and Wiratunga, Nirmalie and Cabanac, Guillaume Predicting Emotional Reaction in Social Networks. (2017) In: 39th European Colloquium on Information Retrieval (ECIR 2017), 9 April 2017 - 13 April 2017 (Aberdeen, United Kingdom).

(Document in English)

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Official URL: https://doi.org/10.1007/978-3-319-56608-5_44


Online content has shifted from static and document-oriented to dy- namic and discussion-oriented, leading users to spend an increasing amount of time navigating online discussions in order to participate in their social network. Recent work on emotional contagion in social networks has shown that information is not neutral and affects its receiver. In this work, we present an approach to detect the emotional impact of news, using a dataset extracted from the Face- book pages of a major news provider. The results of our approach significantly outperform our selected baselines.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in Volume 10193 of Lecture Notes in Computer Science ISSN : 0302-9743 ISBN: 978-3-319-56607-8 The original PDF is available at: https://link.springer.com/chapter/10.1007/978-3-319-56608-5_44
HAL Id:hal-01809392
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Robert Gordon University - RGU (UNITED KINGDOM)
Laboratory name:
Deposited On:28 May 2018 09:12

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