Abstract
In this paper we introduce a method for generating a set of possible reasons of an action needed by an AI program for reasoning about human behavior. We achieve this goal by using web-mining and lexicons of keywords reflecting 14 instincts categories developed by psychologist William McDougall. We describe our system, the experiment and analyze its results of 78% of correct retrievals. The paper is also meant to be a message to social scientists who might be interested in testing their theories on constantly growing group of Internet users.
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Rzepka, R., Araki, K. (2013). Society as a Life Teacher – Automatic Recognition of Instincts Underneath Human Actions by Using Blog Corpus. In: Jatowt, A., et al. Social Informatics. SocInfo 2013. Lecture Notes in Computer Science, vol 8238. Springer, Cham. https://doi.org/10.1007/978-3-319-03260-3_32
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DOI: https://doi.org/10.1007/978-3-319-03260-3_32
Publisher Name: Springer, Cham
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