Abstract
A profound idea in computational linguistics is that we can represent the meaning of words by using vector space models of semantics. According to the distributional models of semantics, representing the meaning of words is done by looking for the words that share the same context as our target word. This chapter presents this approach in computational personality and illustrates it through several case-studies.
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Notes
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See the wonderful clip of the song at https://www.youtube.com/watch?v=ognnZ3r2qyQ.
References
Bosco, F. M., Bucciarelli, M., & Bara, B. G. (2004). The fundamental context categories in understanding communicative intention. Journal of Pragmatics, 36(3), 467–488.
Davies, M. (2009). The 385+ million word Corpus of Contemporary American English (1990–2008+): Design, architecture, and linguistic insights. International Journal of Corpus Linguistics, 14(2), 159–190.
Knoll, J. L. (2010). The ‘pseudocommando’ mass murderer: Part I, the psychology of revenge and obliteration. Journal of the American Academy of Psychiatry and the Law Online, 38, 87–94.
King, S. (1974/2011). Carrie. London, UK: Hodder & Stoughton.
Langmeyer, A., Guglhör-Rudan, A., & Tarnai, C. (2012). What do music preferences reveal about personality? Journal of Individual Differences, 33(2), 119–130.
Millon, T., Millon, C. M., Meagher, S., Grossman, S., & Ramnath, R. (2012). Personality disorders in modern life. Hoboken, NJ: Wiley.
Mohammad, S. M., & Kiritchenko, S. (2013). Using nuances of emotion to identify personality. arXiv preprint arXiv:1309.6352.
Neuman, Y., & Cohen, Y. (2014). A vectorial semantics approach to personality assessment. Scientific Reports, 4, 4761.
Neuman, Y., Assaf, D., Cohen, Y., & Knoll, J. L. (2015). Profiling school shooters: Automatic text-based analysis. Frontiers in Psychiatry, 6, 86.
Saulsman, L. M., & Page, A. C. (2004). The five-factor model and personality disorder empirical literature: A meta-analytic review. Clinical Psychology Review, 23(8), 1055–1085.
Socher, R., Perelygin, A., Wu, J. Y., Chuang, J., Manning, C. D., Ng, A. Y., & Potts, C. et al. (2013, October). Recursive deep models for semantic compositionality over a sentiment treebank. In Proceedings of the conference on empirical methods in natural language processing (EMNLP) (Vol. 1631, pp. 1631–1642). Stroudsburg, PA: Association for Computational Linguistics.
Turney, P. D., & Pantel, P. (2010). From frequency to meaning: Vector space models of semantics. Journal of Artificial Intelligence Research, 37(1), 141–188.
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Neuman, Y. (2016). Distributional Semantics and Personality: How to Find a Perpetrator in a Haystack. In: Computational Personality Analysis. Springer, Cham. https://doi.org/10.1007/978-3-319-42460-6_4
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DOI: https://doi.org/10.1007/978-3-319-42460-6_4
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