[3F1-OS-12a] [Organized Session] OS-12

[3F1-OS-12a-03] Personality Estimation of Twitter Users by Using Deep Learning

〇Yuki Wakamiya¹, Wataru Sunayama², Yuji Hatanaka², Kazunori Ogohara² (1. Graduate School of Engineering, The University of Shiga Prefecture, 2. School of Engineering, The University of Shiga Prefecture)

Keywords:Personality Estimation, Twitter, Deep Learning

In recent years, SNS has become widespread and it has become possible to exchange easily with various people through a network.In order to carry out smooth exchange it is necessary to understand the person ’s character, but only the sentence on SNS Since it is difficult to understand sufficiently, it is easier to understand the exchange partner by estimating the character of the author from the characteristics of the sentence.In this research, for a Twitter user, a set of sentences posted on Twitter to estimate personality by deep learning and to present the estimation results to users.
We constructed a classication network by deep learning for each of a plurality of elements of human character and developed an estimation system.As a result of evaluating based on correct answer data created by cooperation of plural people, High conformity rate, recall rate, and sufficient validity could be conrmed.