Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
32nd (2018)
Session ID : 3F1-OS-12a-03
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Personality Estimation of Twitter Users by Using Deep Learning
*Yuki WAKAMIYAWataru SUNAYAMAYuji HATANAKAKazunori OGOHARA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

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.

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© 2018 The Japanese Society for Artificial Intelligence
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