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Empathy Factor Mining from Reader Comments of E-manga

Authors:
Eisuke Ito
Yuya Honda
Sachio Hirokawa

Keywords: online contents; e-manga; user comments; interac- tion; feature selection; SVM.

Abstract:
Currently the digitization of manga (cartoon) is pro- gressing. Expressions of manga in the past has been evolved suitable for printing on paper. With the spread of smartphones, the expression of e-manga are developing at present. In this research, we focus on reader comments on e-mangas in Comico. Comico is a popular e-manga service. As same as other online contents services, such as YouTube, Comico implements user comment system. Reader can post comment easily, and comments quickly reach to others including the manga creator. Comico recognizes that reader comments may influence on the creator and the story of e-manga. In this research, we try to mine the empathy factor of readers for the story and the characters of e- manga. We collect reader comments, and apply feature selection of SVM to mine empathy factors among readers.

Pages: 107 to 112

Copyright: Copyright (c) IARIA, 2018

Publication date: March 25, 2018

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-620-0

Location: Rome, Italy

Dates: from March 25, 2018 to March 29, 2018