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Predicting the next word using the Markov chain model according to profiling personality

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Abstract

Understanding human data has been the focus of philosophers and scientists. Social media platforms encourage people to be creative and share their personal information. By analyzing data, we will be able to identify people’s personalities and information that is also important to specific profiles. The aim of this paper is to propose an approach that predicts the next word during writing a sentence based on the user’s personality. To achieve this goal, our approach is illustrated by two points: (1) An approximate extraction of the big five personality model for a specific user from his tweets. (2) Predicting the next word while a user is writing a new tweet depends on his personality using the Markov chain model. On the basis of these two notions, our approach makes writing posts easier by predicting and suggesting next words based on the user’s personality. Experience represents the ease of predicting the next word during the writing of a new post related to individual potential.

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Author notes

  1. Mohamed Amnai and Youssef Fakhri have contributed equally to this work.

Authors and Affiliations

  1. Laboratory of Computer Sciences, Faculty of Sciences, IbnTofail University, Kenitra, Morocco

    Bahaa Eddine Elbaghazaoui, Mohamed Amnai & Youssef Fakhri

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  1. Bahaa Eddine Elbaghazaoui
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BEE and MA wrote the main manuscript text, and YF prepared figures and tables based on the script. All authors reviewed the manuscript.

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Correspondence to Bahaa Eddine Elbaghazaoui.

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Elbaghazaoui, B.E., Amnai, M. & Fakhri, Y. Predicting the next word using the Markov chain model according to profiling personality. J Supercomput 79, 12126–12141 (2023). https://doi.org/10.1007/s11227-023-05125-2

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