Abstract
The process of retrieving conversations from social network sites differs from traditional Web information retrieval because it involves human communication aspects, like the degree of interest in the conversation explicitly or implicitly expressed by the interacting people and their influence/popularity. Our demo allows users to include these aspects into the search process. The system allows the retrieval of millions of conversations generated on the popular Twitter social network site, and in particular conversations about trending topics.
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Magnani, M., Montesi, D., Nunziante, G., Rossi, L. (2011). Conversation Retrieval from Twitter. In: Clough, P., et al. Advances in Information Retrieval. ECIR 2011. Lecture Notes in Computer Science, vol 6611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20161-5_93
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DOI: https://doi.org/10.1007/978-3-642-20161-5_93
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20160-8
Online ISBN: 978-3-642-20161-5
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