Research On Author’s Evaluation Model In Book Evaluation System Development Based On Text-Mining

With the hot development of extensive reading,the book’s position in people’s life has been rapidly increased,and the book evaluation has also been more and more attracted people’s attention.The author is one of the basic attributes of books,so the author’s evaluation is the basic component of the book evaluation.In recent years,scholars at home and abroad have been widely discussed in the book evaluation,but few studies have been aimed at the evaluation of the author.In this paper,the author analyzes the traditional methods of the author’s evaluation,and comes up with the author’s evaluation method based on text-mining.The main work of this paper is as follows:⑴Investigates the method of the author’s evaluation at home and abroad,analysis the characteristics that current author evaluation stresses subjective,proposed by large authors information data and based on text mining algorithm to value the author’s ideas.Strive to provide objective data support for the evaluation of the author.⑵Collecting the author information required for this study from the massive data in the Internet as the basis of data.Studying the technology of web crawler,analyzing the data source,to collect the comprehensive and detailed information.The text is used to process the original data,and get the information of the original data in order to get the 1527429 author’s information for the later use.At the same time,it is related to the book catalog information,enrich the breadth of the book cataloging.⑶In the basis of the author information collected,calculate a large number of statistics.Through the analysis of the calculation results,selected the author’s work unit,title,winning situation and the h-index which can represent author’s academic level as the main influence factors of the author’s evaluation.⑷Construct the author’s evaluation model based on text mining.Proposed the automation of author’s evaluation,using Bayesian algorithm instead of the past subjective evaluation method,solved the problem with a strong subjectivity in the evaluation,to make sure the evaluation modle can deal with mass of information fast and effectively with only a few people work.Experiments show that the author’s evaluation model based on text mining can be applied to the author’s evaluation tasks,and the evaluation results are accurate and efficient,and can be used for the current evaluation model.