The Design And Implementation For Credit Project Evaluation Intelligent Experts Management Software Of Rural Credit Cooperatives

Automatic text clustering is a method for text clustering, defined through the analysis of large-scale data information, extracting feature words to generalize the text, according to the calculation of text similarity. According to the text content automatically decide their category. The emergence of text clustering technology, make the document can be correlated and calculated automatically according to the content, conforms to the human management needs to the document information. At the same time, as the information filtering, information retrieval, search engine technology and other fields, text clustering technology has extensive application prospects.The intelligent management software of evaluating expert as the project of rural credit cooperative. The prototype from the credit system of rural credit cooperatives. Because there are a large number of the approval documents to be reported every year, in the face of such a huge project, evaluation experts’ reasonable distribution becomes a daunting task. this paper uses Natural Language Processing technology and clustering analysis technology, to make grouping management for the reporting application, in the process of project evaluation expert assignment, review recommended by the group as a unit. Using the paper as a medium of automatic recommendation service, its core idea is through the document has been published by evaluation experts, to feature description of experts, so that have the knowledge model system.In this paper, uses keyword extraction, text clustering and similarity calculation as the core technology, the massive related data collection on the Internet as the foundation, established the expert knowledge base and knowledge base. On this basis, through the expert of the same name disambiguation and the establishment of expert networks, further the correctness of the system is guaranteed. The main work is as follows:First, according to the specific needs of expert recommendation service, the design implementations of expert information collection, clustering, push, namesake disambiguation, the packet, similarity calculation method based on the network of rural credit cooperatives. The most important is proposed by the clustering analysis of expert technology as the core of automatic classification and recommended method.Second, put forward the network data acquisition method based on distributed network. Using of the resources of paper and expert collection on internet, to construction of expert knowledge base, the knowledge base and expert model. And make the expert knowledge base for continuous improvement and expansion.Third, Design and develop the experts’ intelligent project management software of Rural Credit Cooperative Expert development. The system integration Natural Language Processing, web mining, text clustering, knowledge push and other advanced technologies, to achieve the evaluation experts’ intelligent recommend efficiently. The experimental results show that, based on the paper’s recommendation service of knowledge mode that has been achieved good results in practical application.