Opinion mining for user generated design by Social Networking Service and Japanese Manga

Anak Agung Gede Dharma, Hiroyuki Kumamoto, Shogo Kochi, Natsuki Kudo, Guowei Wei, Shu Chuan Chiu, Kiyoshi Tomimatsu

Research output: Contribution to journalArticlepeer-review


The growth of Social Networking Service (SNS) has created a new potential in marketing. While users communicate and interact via SNS, the list of their conversation, which is called casual data can be used to determine their needs or aspirations. SNS can be very useful for product/service developers, especially when developing new ideas or simply evaluating the feasibility of their existing products/services. Furthermore, SNS provides a unique system that enables expressive and two-way communication between its users. SNS is known for its effectiveness in delivering fresh news and information, thus it can be used as promotional media. Although several online services that utilize SNS and casual data have been provided, the purpose of those services is still unclear and ineffective. In those services, users were only asked for their opinions without receiving sufficient feedbacks. Therefore, to solve these problems we propose an innovative way of utilizing SNS and casual data in designing user generated design. In our proposed system, users can directly contribute to the product/service development process in an interesting way. We designed an online service, which allows users to posts manga that describes their original idea. While contributing to the product/service development, they can also benefit from expressing their hobbies and receiving feedbacks from other users.

Original languageEnglish
Pages (from-to)223-240
Number of pages18
JournalITB Journal of Information and Communication Technology
Issue number3
Publication statusPublished - 2011

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Electrical and Electronic Engineering


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