JSAI2018

Presentation information

Oral presentation

General Session » [General Session] 1. Basis / Theory

[2B4] [General Session] 1. Basis / Theory

Wed. Jun 6, 2018 5:20 PM - 7:00 PM Room B (4F Moon Light)

座長:佐々木 耀一(NEC)

6:40 PM - 7:00 PM

[2B4-05] A Method to Estimate the Original Form of Kaomoji Using Neural Network with Character Embedding Function

〇Rei Okumura1, Noriyuki Okumura1 (1. National Institute of Technology, Akashi College)

Keywords:Emoticons, Kaomoji, Neural Networks

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.