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Morphological Relations for the Automatic Expansion of Italian Sentiment Lexicons

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Automatic Processing of Natural-Language Electronic Texts with NooJ (NooJ 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 607))

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Abstract

This paper introduces a morphological method for the expansion of Italian Sentiment Lexicons. The purpose of the work is to exploit the existing resources of Nooj in order to make unknown words automatically inherit the semantic information associated to the known items, tanks to derivation phenomena. The research did not focused only on the propagation of the semantic tags, but explored also the reversion, the intensification and the weakening of the words by the effect of special kinds of morphemes.

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Authors and Affiliations

  1. Department of Political, Social and Communication Science, University of Salerno, Via Giovanni Paolo II, 132, Fisciano, SA, Italy

    Serena Pelosi

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  1. Serena Pelosi
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Correspondence to Serena Pelosi .

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Editors and Affiliations

  1. United Institute of Informatics Problems , Minsk, Belarus

    Tatsiana Okrut

  2. United Institute of Informatics Problems , Minsk, Belarus

    Yuras Hetsevich

  3. Université de Franche-Comté , Paris, France

    Max Silberztein

  4. United Institute of Informatics Problems , Minsk, Belarus

    Hanna Stanislavenka

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Pelosi, S. (2016). Morphological Relations for the Automatic Expansion of Italian Sentiment Lexicons. In: Okrut, T., Hetsevich, Y., Silberztein, M., Stanislavenka, H. (eds) Automatic Processing of Natural-Language Electronic Texts with NooJ. NooJ 2015. Communications in Computer and Information Science, vol 607. Springer, Cham. https://doi.org/10.1007/978-3-319-42471-2_4

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  • DOI: https://doi.org/10.1007/978-3-319-42471-2_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42470-5

  • Online ISBN: 978-3-319-42471-2

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