Abstract
This paper presents resources and functionalities for the selection of affective evaluative terms. An affective hierarchy as an extension of the WordNet-Affect lexical database was developed in the first place. The second phase was the development of a semantic similarity function, acquired automatically in an unsupervised way from a large corpus of texts that allows us to put into relation concepts and emotional categories. The integration of the two components is a key element for several applications.
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Valitutti, A., Strapparava, C., Stock, O. (2005). Lexical Resources and Semantic Similarity for Affective Evaluative Expressions Generation. In: Tao, J., Tan, T., Picard, R.W. (eds) Affective Computing and Intelligent Interaction. ACII 2005. Lecture Notes in Computer Science, vol 3784. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11573548_61
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DOI: https://doi.org/10.1007/11573548_61
Publisher Name: Springer, Berlin, Heidelberg
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