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Extracting Social Networks Enriched by Using Text

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Foundations of Intelligent Systems (ISMIS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6804))

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Abstract

Forums on the Internet are an overwhelming source of knowledge considering the number of topics treated and users who participate in these discussions. This volume of data is difficult to comprehend for a person with respect for the large number of posts. Our work proposes a new formal framework for synthesizing information contained in these forums. We extract a social network that reflects reality by extracting multiple relationships between individuals (structural relationship, name and text quotation relationships). These relationships are created from the structure and the content of the discussion. Results show that discovering quotation relationships from forums is not trivial.

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© 2011 Springer-Verlag Berlin Heidelberg

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Forestier, M., Velcin, J., Zighed, D. (2011). Extracting Social Networks Enriched by Using Text. In: Kryszkiewicz, M., Rybinski, H., Skowron, A., RaÅ›, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2011. Lecture Notes in Computer Science(), vol 6804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21916-0_16

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  • DOI: https://doi.org/10.1007/978-3-642-21916-0_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21915-3

  • Online ISBN: 978-3-642-21916-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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