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Senterritoire for Spatio-Temporal Representation of Opinions

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8455))

Abstract

In previous work, he method called Opiland (OPinion mIning from LAND-use planning documents) has been proposed in order to semi-automatically mine opinions in specialized contexts. In this article, we present the associated Senterritoire viewer developed to dynamically represent, in time and space, opinions extracted by Opiland.

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© 2014 Springer International Publishing Switzerland

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Farvardin, M.A., Kergosien, E. (2014). Senterritoire for Spatio-Temporal Representation of Opinions. In: Métais, E., Roche, M., Teisseire, M. (eds) Natural Language Processing and Information Systems. NLDB 2014. Lecture Notes in Computer Science, vol 8455. Springer, Cham. https://doi.org/10.1007/978-3-319-07983-7_35

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  • DOI: https://doi.org/10.1007/978-3-319-07983-7_35

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07982-0

  • Online ISBN: 978-3-319-07983-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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