Abstract
With the boom of social networks, the amount of personal information that is put online has seen an exponential increase. Social media profiles can reveal important details about individuals and their preferences. Psychological studies have revealed that humans can be divided into types, based on their personality traits. This paper explores the usefulness of Twitter profiles in predicting the personality types of the users. The results of analysis of 450 Twitter profiles and over 1 million tweets are reported. It is shown that high degrees of correlation exist between the information from tweets and personality traits. Prediction accuracies up to 60% are also reported.
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References
Golbeck, J., Robles, C., Edmondson, M., Turner, K.: Predicting personality from Twitter. In: IEEE International Conference on Privacy, Security, Risk, and Trust, and IEEE International Conference on Social Computing, pp. 149–156 (2011)
Lima, A.C., De Castro, L.: Multi-label semi-supervised classification applied to personality prediction in Tweets. In: BRICS Countries Congress, vol. 1 (2013)
Pennacchiotti, M., Popescu, A.M.: A machine learning approach to Twitter user classification. In: Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (2011)
Poria, S., Gelbukh, A., Agarwal, B., Cambria, E., Howard, N.: Common sense knowledge based personality recognition from text. In: Castro, F., Gelbukh, A., González, M. (eds.) Advances in Soft Computing and Its Applications, pp. 484–496. Springer, Heidelberg (2011)
Personalities. https://www.16personalities.com/
Receptiviti for Twitter. http://www.receptiviti.ai/
Linguistic Inquiry and Word Count. http://liwc.wpengine.com/
Carl Jung. https://en.wikipedia.org/wiki/Carl_Jung
MBTI Basics. http://www.myersbriggs.org/my-mbti-personality-type/mbti-basics/
ConceptNet 5. http://conceptnet5.media.mit.edu/
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Raje, M.S., Singh, A. (2018). Personality Detection by Analysis of Twitter Profiles. In: Abraham, A., Cherukuri, A., Madureira, A., Muda, A. (eds) Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016). SoCPaR 2016. Advances in Intelligent Systems and Computing, vol 614. Springer, Cham. https://doi.org/10.1007/978-3-319-60618-7_65
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DOI: https://doi.org/10.1007/978-3-319-60618-7_65
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