Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
32nd (2018)
Session ID : 2B4-05
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A Method to Estimate the Original Form of Kaomoji Using Neural Network with Character Embedding Function
*Rei OKUMURANoriyuki OKUMURA
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Abstract

This research focuses on Kaoomji (Asian style emoticons) used in text-based communication. We analyze Kaomoji that are made from particular characters’ sequence (original shapes). In this paper, we construct a neural network with embedding function to estimate the original form of Kaomoji. As a result, we find out that our proposed method can estimate the original form of Kaomoji with 0.746 of accuracy ratio.

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© 2018 The Japanese Society for Artificial Intelligence
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