Abstract
This paper presents resources and lexical strategies for persuasive natural language processing. After the introduction of a specifically tagged corpus of political speeches, some forms of affective language processing in persuasive communication and prospects for application scenarios are provided. In particular Valentino, a prototype for valence shifting of existing texts, is described.
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Guerini, M., Strapparava, C., Stock, O. (2008). Trusting Politicians’ Words (for Persuasive NLP). In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2008. Lecture Notes in Computer Science, vol 4919. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78135-6_22
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DOI: https://doi.org/10.1007/978-3-540-78135-6_22
Publisher Name: Springer, Berlin, Heidelberg
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