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 profils. 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 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.