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[4C3-OS-1a-02] Supporting Personality Estimation Based on the Percentage of Emotional Words Used in Tweets
Keywords:text mining, Emotional expression words, Personality Assessment
In this study, we propose a Twitter-based system that supports the selection of an interaction partner by displaying the results of personality estimation of each user based on the percentage of emotional words used in tweets. Users of this system can search for people with whom they want to interact by narrowing down the users based on the provided personality information of Twitter users and then checking the actual tweets of the narrowed users. Through experiments, we verified whether the system can smoothly find Twitter users with whom the user wants to interact.
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