Personality Identification from Social Media Using Deep Learning: A Review

  • S. BhavyaEmail author
  • Anitha S. Pillai
  • Giuliana Guazzaroni
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1057)


Social media helps in sharing of ideas and information among people scattered around the world and thus helps in creating communities, groups, and virtual networks. Identification of personality is significant in many types of applications such as in detecting the mental state or character of a person, predicting job satisfaction, professional and personal relationship success, in recommendation systems. Personality is also an important factor to determine individual variation in thoughts, feelings, and conduct systems. According to the survey of Global social media research in 2018, approximately 3.196 billion social media users are in worldwide. The numbers are estimated to grow rapidly further with the use of mobile smart devices and advancement in technology. Support vector machine (SVM), Naive Bayes (NB), Multilayer perceptron neural network, and convolutional neural network (CNN) are some of the machine learning techniques used for personality identification in the literature review. This paper presents various studies conducted in identifying the personality of social media users with the help of machine learning approaches and the recent studies that targeted to predict the personality of online social media (OSM) users are reviewed.


Deep learning Five-factor model Conscientiousness Openness Extraversion Neuroticism Personality recognition Online social media 


  1. 1.
    Costa, Jr., P.T., McCrae, R.R.: The SAGE Handbook of Personality Theory and Assessment, vol. 2. The Revised NEO Personality Inventory (NEO-PI-R) (2008)Google Scholar
  2. 2.
  3. 3.
  4. 4.
    Xu, D., Hong, Z., Guo, S., Gao, L., Wu, L., Zheng, J., Zhao, N.: Personality Recognition on Social Media with Label Distribution Learning. IEEE (2017). Scholar
  5. 5.
    Golbeck, J., Robles, C., Turner, K.: Predicting personality with social media. In: CHI’11 Extended Abstracts on Human Factors in Computing Systems, Vancouver, 7–12, May 2011, pp. 253–262. ACM (2011)Google Scholar
  6. 6.
    Golbeck, J., Robles, C., Edmondson, M., Turner, K.: Predicting personality from Twitter. In: 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third International Conference on Social Computing, Boston, 9–11 Oct 2011, pp 149–156. IEEE (2011)Google Scholar
  7. 7.
    Qiu, L., Lin, H., Ramsay, J., Yang, F.: You are what you tweet: personality expression and perception on twitter. J. Res. Pers. (2012)Google Scholar
  8. 8.
    Kosinski, M., Stillwell, D., Graepel, T.: Private traits and attributes are predictable from digital records of human behavior. Proc. Natl. Acad. Sci. USA (2013)Google Scholar
  9. 9.
    Farnadi, G., Zoghbi, S., Moens, M.-F., De Cock, M.: Recognising Personality Traits Using Facebook Status Updates. Association for the Advancement of Artificial Intelligence (2013).
  10. 10.
    Alam, F., Stepanov, E.A., Riccardi, G.: Personality Traits Recognition on Social Network – Facebook. AAAI Technical Report WS-13-01. Computational Personality Recognition (2013).
  11. 11.
    Lima, A.C.E.S., de Castro, L.N.: A multi-label, semi-supervised classification approach applied to personality prediction in social media. Neural Netw. (2014)Google Scholar
  12. 12.
    Nie, D., Guan, Z., Hao, B., Bai, S., Zhu, T.: Predicting personality on social media with semi-supervised learning. In: IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) (2014)Google Scholar
  13. 13.
    Peng, K.-H., Liou, L.-H., Chang, C.-S., Lee, D.-S.: Predicting Personality Traits of Chinese Users Based on Facebook Wall Posts (2015). ieee.orgGoogle Scholar
  14. 14.
    Plank, B., Hovy, D.: Personality traits on Twitter – or – how to get 1500 personality test in a week. In: Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pp. 92–98 (2015)Google Scholar
  15. 15.
    Poria, S., Cambria, E., Hazarika, D., Vij, P.: A Deeper Look in to Sarcastic Tweets Using Deep Convolutional Neural Networks (2016).
  16. 16.
    Majumder, N., Poria, S., Gelbukh, A., Cambria, E.: Deep Learning-Based Document Modeling for Personality Detection from Text (2017)Google Scholar
  17. 17.
    da Silva, B.B.C., Paraboni, I.: Personality Recognition from Facebook Text. Springer (2018)Google Scholar
  18. 18.
    Xue, D., Wu, L., Hong, Z., Guo, S., Gao, L., Wu, Z., Zhong, X., Sun, J.: Deep Learning-Based Personality Recognition from Text Posts of Online Social Networks. Springer (2018)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • S. Bhavya
    • 1
    Email author
  • Anitha S. Pillai
    • 1
  • Giuliana Guazzaroni
    • 2
  1. 1.School of Computing SciencesHindustan Institute of Technology and ScienceChennaiIndia
  2. 2.Marche Polytechnic UniversityAnconaItaly

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