JSAI2019

Presentation information

Organized Session

Organized Session » [OS] OS-9

[2E4-OS-9] 顔文字の科学

Wed. Jun 5, 2019 3:20 PM - 5:00 PM Room E (301A Medium meeting room)

奥村 紀之(大手前大学)、Michal Ptaszynski(北見工業大学)、Rzepka Rafal(北海道大学)

3:40 PM - 4:00 PM

[2E4-OS-9-02] A Multi-class Classification based on the Original Form of Kaomoji using Neural Network

〇Noriyuki Okumura1, Rei Okumura2 (1. Otemae University, 2. National Institute of Technology, Akashi College)

Keywords:Kaomoji, Neural Network

In this paper, we propose a multi-class classification method for Kaomoji using feed-forward neural network.
Neural network has some units in each layer, but a suitable number of units is not precise.
This research investigated the relation between the number of units and the accuracy of the multi-class classification method. As a result, we found out the suitable number of units in a hidden layer is 6,500 based on a rule of thumb in our research.