A three-stage quality evaluation method for experience products: taking animation as an example

Abstract

The diversity and dynamics of quality index information bring challenges to quality assessment of experience products. This paper proposes a three-stage quality assessment method based on grounded theory, association analysis, combined weighting, sentiment analysis and cloud model. Firstly, based on online reviews, the true quality indicators of animation are recognized by grounded theory, and the relationships among quality indicators are identified by association analysis. Secondly, by introducing the principle of gaming, the combined weighting based on network opinion leader and network opinion follower is proposed. Finally, an animation comprehensive quality evaluation model based on cloud model and sentiment analysis is proposed. The feasibility and practicability of the method are verified on multiple animation datasets, and the quality levels of different sales products are obtained, providing a direction for animation quality improvement. Meanwhile, this paper further demonstrates the method's superiority by comparing it with other methods.