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논문검색

Human-Machine Interaction Technology (HIT)

Cost-Benefit based User Review Selection Method

초록

영어

User reviews posted in the application market show high relevance with the satisfaction of application users and its significance has been proven from numerous studies. User reviews are also crucial data as they are essential for improving applications after its release. However, as infinite amounts of user reviews are posted per day, application developers are unable to examine every user review and address them. Simply addressing the reviews in a chronological order will not be enough for an adequate user satisfaction given the limited resources of the developers. As such, the following research suggests a systematical method of analyzing user reviews with a cost-benefit analysis, in which the benefit of each user review is quantified based on the number of positive/ negative words and the cost of each user review is quantified by using function point, a technique that measures software size.

목차

Abstract
1. Introduction
2. Proposed method
2.1 User Review Collection and Sentiment Classification
2.2 Benefit Quantification of User Review
2.3 Cost Quantification of User Review
2.4 User Review Selection and Requirement Elicitation
3. Conclusion
Acknowledgement
References

저자정보

  • Neung-Hoe Kim School of Software, Kunsan National University, Assistant Professor, Korea
  • Man-Soo Hwang School of IT Convergence, Shinhan University, Professor, Korea

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