Entertainer Evaluation System Research Based on Index Model and Text Analysis

摘要

With the rapid development of the entertainment industry, the value of entertainers has received unprecedented attention. In view of the market's demand for the entertainer evaluation system, this paper adopts big data analysis and mining techniques to propose an entertainer evaluation system based on the index model and text analysis. The entertainer index evaluation model consisting of basic index and comprehensive index adopts a combining method of subjectively and objectively index weighing method, which solving the incommensurability problem between different indexes. In text analysis part, the emotional dictionary is built on the basis of the micro-blog commentary data of the Internet, and then word cloud is drawn according to the word frequency. Furthermore, the distribution of emotional tendencies is obtained through sentiment analysis, thus achieving an all-round evaluation system for entertainers. This paper also selects some entertainer examples to conduct experiments, demonstrating the effectiveness of the evaluation results.