A Personality Estimation in Customer Generated Media based on Emotion Judgment

2016 Fiscal Year Final Research Report

• Project/Area Number: 15K21592
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Intelligent informatics; Social psychology
• Research Institution: Akashi National College of Technology (2016); Kagawa National College of Technology (2015)
• Principal Investigator: Okumura Noriyuki 明石工業高等専門学校, その他部局等, 講師 (40510277)
• Project Period (FY): 2015-04-01 – 2017-03-31
• Keywords: 性格推定 / 感情推定 / 顔文字

Outline of Final Research Achievements

In this research, we examined the method to estimate a virtual personality in Customer Generated Media based on the articles submitted to SNS. We especially confirmed the difference between blogs submitted after arranging author's verbs and objects, and tweets submitted without arranging. We also found out the difference between author's virtual personality and author's real personality. Finally, we extracted the relationship between the five factor in Big Five Model and emotion judgment algorithm to automatize personality estimation method.

Free Research Field

知識工学