Personality Prediction System for Twitter Stream Using Machine Learning Models

Users’ behaviour on social media platforms reflects many aspects of real life, including personality, and these platforms provide a rich amount of textual data. Individuals communicate their thoughts, feelings, and ideas regularly, resulting in a rich and informative collection of personal data that may be used to a wide range of situations. As the word subconscious suggests, this is commonly referred to as “subconscious crowdsourcing,” which means that people are unintentionally and subconsciously sharing information with their network. These people are therefore ideal candidates for personality prediction due to the massive expansion of those social media sites over the past ten years. Tweets, for instance, are frequently quite brief and display an odd language usage, consisting of acronyms and unique forms compared to textual sources.