The Design And Implementation Of Text Resource And Task Management System

With the popularization of the Internet and the improvement of various industries'informatization level,the amount of unstructured data resource has increased exponentially.The vast amount of data resources in the world are mixed together,so that truly useful information is buried.Because of this,users need a simple and convenient tool to select data which could meet their needs from large-scale data resources.Appropriately,text analysis technology with broad application prospects can solve this problem.Text analysis aims at unstructured or semi-structured data.The text is processed into a form that the computer can recognize,and then,it would summarize and output some important rules in a form that is easy for users to understand.The text resource and task management system is developed using Spring-boot framework,Eclipse development platform,MySQL and Redis database.The system mainly includes a resource management subsystem and a text processing subsystem,and it is divided into many modules,which are a classification rule management module,a thesaurus management module,a data source management module,a strategy management module,an automatic word segmentation module,an abstract keyword module,an entity extraction module,a text classification module,a text clustering module,a pinyin annotation module and a simplified conversion module.The writer of this essay will be mainly responsible for the design and implementation of the relevant modules in the resource management,which can process texts fast and realize large-volume,refine the key information among them and present the relevance of data to customers in a visual form.Also,it can help users to achieve their personalized customization by managing and optimizing thesaurus,rules and data sources.Through this system,users can process text more finely in a specific area,refine key information and improve work efficiency.This system can be applied for demand analysis and data analysis in communications,technology,media,e-commerce and other industries.Through the semantic analysis of user evaluation and user feedback issues,keywords can be extracted,user-focused issues can be discovered,hence services can be improved,and it could meet user needs and discover new opportunities.At present,the product has been used,and the goal has been achieved.The module designed by the author is operating normally.And it meets the basic needs of the users.Each module is very expandable,that helps the system to optimize and develop later.