In recent years, the interest of personality recognition from text or other cues, such as social network usage, has grown rapidly. Social networks are a window into an individual’s mind. The things people talk about on social networks can, directly or indirectly, reveal how they think and what kind of personality they have. In spite of a growing number of works in personality recognition, the results got from the current personality recognition system do not perform with a
sufficient accuracy. In this project, a better approach to recognising an individual’s personality is proposed, with considering different features on an individual’s social networks, such as basic information, tweets or Facebook statuses, the things he/she “Likes” on Facebook, to name only a few. The skills and techniques involved analyze the data include Linguistics, Psychology, Data Mining and Machine Learning.