International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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Emotion Analysis of Characters in a Comic from State Diagram via Natural Language-based Requirement Specifications

  • Ye Jin Jin (Dept. of Software and Communication Engineering, Hongik University) ;
  • Ji Hoon Kong (Dept. of Software and Communication Engineering, Hongik University (Toonsquare)) ;
  • Hyun Seung Son (Dept. of Computer Engineering, Mokpo National University) ;
  • R. Young Chul Kim (Dept. of Software and Communication Engineering, Hongik University)
  • Received : 2024.01.23
  • Accepted : 2024.02.06
  • Published : 2024.03.31
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Abstract

The current software industry has an emerging issue with natural language-based requirement specifications. However, the accuracy of such requirement analysis remains a concern. It is noted that most errors still occur at the requirement specification stage. Defining and analyzing requirements based on natural language has become necessary. To address this issue, the linguistic theories of Chomsky and Fillmore are applied to the analysis of natural language-based requirements. This involves identifying the semantics of morphemes and nouns. Consequently, a mechanism was proposed for extracting object state designs and automatically generating code templates. Building on this mechanism, I suggest generating natural language-based comic images. Utilizing state diagrams, I apply changes to the states of comic characters (protagonists) and extract variations in their expressions. This introduces a novel approach to comic image generation. I anticipate highly productive comic creation by applying software processes to Cartoon ART.

Keywords

Acknowledgement

This study was conducted with the support of the Korea Creative Content Agency (Task Name: Artificial Intelligence-based User Interactive Storytelling 3D Scene Authoring Technology Development, Task Number: RS-2023-00227917, Contribution Rate: 70%) and the Basic Research Project of the Korea Research Foundation (Task Name: Non-defective Research through automatic refactoring based on the NLP BERT Model, Task Number: No.2021R1I1A3050407, Contribution Rate: 15%) with the support of the Korea Creative Content Agency (Task Name: No.2021R1A3050407, Contribution Rate: 15%).

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