Personality Assessment using Twitter Tweets

Abstract Social media establishes uninterrupted connectivity, between its users and external world through revealing personal details and their viewpoints in every aspect of life. The focal aim of this study is to analyze how twitter (dataset) can be used to improve the user experience with personality assessment. The article, in its primary context, exhibits the psychological profiling of users on the basis of the dataset. This profiling can be a very useful tool for career progression, job satisfaction and setting preferences in different interfaces. We propose a way in which the user’s personality can be predicted through information mapping available to the public on their personal Twitter using DISC (Dominance, Influence, Compliance, Steadiness) assessment. The outcomes of this study can be useful for information retrieval (search engine), content selection mechanism and positioning product & services.

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