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Monitoring Social Attitudes Using Rectitude Gains

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Abstract

The article describes a prototype system aimed at monitoring attitudes toward any social group. The approach involves web mining and content analysis based on Rectitude Gain category from the Laswell dictionary of political values, extended into shallow predicate rules. The system requires no lexical sentiment resources and no training corpora. It has been designed, implemented and tested in Polish.

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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Wawer, A. (2010). Monitoring Social Attitudes Using Rectitude Gains. In: Daras, P., Ibarra, O.M. (eds) User Centric Media. UCMEDIA 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12630-7_44

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  • DOI: https://doi.org/10.1007/978-3-642-12630-7_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12629-1

  • Online ISBN: 978-3-642-12630-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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