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Prediction of Personality Traits in Facebook Users

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Advances in Data Science and Management

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 86))

Abstract

Social media is a forum for people to introduce themselves to the world, sharing personal details, and perspectives about their lives. This awareness can be used to improve app performance and application experiences. Personality has been shown to be important to many kinds of interactions; it has been shown to be beneficial for predicting job satisfaction, efficiency, and even preference for specific interfaces. Various information is widely shared through social media, i.e., Facebook and Twitter. User and user data are important research instruments in the fields of behavioral learning and personality via status updates. There is a rapid increase in use of social networks. Similar research has been carried out in this area and continues to grow. This attempts to create a program that can predict a person’s character using a dataset. Its research is conducted in the Big Five Model Personality.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Sathyabama Institute of Science & Technology, Chennai, India

    Mamta Bhamare & K. Ashokkumar

Authors
  1. Mamta Bhamare
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  2. K. Ashokkumar
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Corresponding author

Correspondence to Mamta Bhamare .

Editor information

Editors and Affiliations

  1. Sikkim Manipal University, Majhitar, Rangpo, Sikkim, India

    Samarjeet Borah

  2. Gandhi Institute for Education and Technology, Bhubaneswar, Odisha, India

    Sambit Kumar Mishra

  3. GIET University, Gunupur, Odisha, India

    Brojo Kishore Mishra

  4. Department of Automatics and Applied Software, Aurel Vlaicu University, Arad, Romania

    Valentina Emilia Balas

  5. Jan Wyzykowski University, Polkowice, Poland

    Zdzislaw Polkowski

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Bhamare, M., Ashokkumar, K. (2022). Prediction of Personality Traits in Facebook Users. In: Borah, S., Mishra, S.K., Mishra, B.K., Balas, V.E., Polkowski, Z. (eds) Advances in Data Science and Management . Lecture Notes on Data Engineering and Communications Technologies, vol 86. Springer, Singapore. https://doi.org/10.1007/978-981-16-5685-9_13

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