Host: The Japanese Society for Artificial Intelligence
Name : The 32nd Annual Conference of the Japanese Society for Artificial Intelligence, 2018
Number : 32
Location : [in Japanese]
Date : June 05, 2018 - June 08, 2018
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.