The Design And Implementation Of Fake Comments Detection System Based On Web Service

With the rapid development of the Internet and improving living standards, the Internet has become an open shared network platform. Web2.0 is developing rapidly, people have become the host in the Internet, so that personalized service has become the current research and development direction of the internet. The application of web services-based is more user-friendly and portable, which makes designers can more quickly complete the function.The development of Web 2.0 made the mass user information to be accumulated. Users to form a large number of user groups on the network platform based on their own preference. There are potential business opportunities by huge user base, that become the object of attention of all kinds of organizations and researchers. At the same time, a lot of criminals are filled with the destruction of the network environment, impair the health of the internet. Among them, some malicious users through the publication of fake information and spam, to spread through the network, thus affecting the user’s ability to judge the correct information in the network and changing the normal operation of the products. In the e-commerce environment, a huge number of fake comments impact the user to properly judge the product, but also affect the user’s product purchase experience in the network shopping. Facing the complicated network environment, develop and design a fake review information service platform, for developers to provide transparent and simple interface by web service, make the developers just pay close attention to implement the product without the algorithm of fake review research, then even effectively promote the the research domain of development practice.This article builds a cross platform, cross language Web application, using the XML standard service description and configuration, and provide the service interface of the review of text detection, it implements a fake review detection on the cross platform and provides real-time system request services for developers.Firstly,we use of web crawler tools to get user review datas from the major e-commerce website, to identify the site, create e-commerce review data warehouse. Meanwhile, building LDA text theme model by the historical review data. Finally, providing to detect the external service interface through the Web service, to estimate the data of the access terminal, then detect what is fake review.The implementation of Web service platform is more convenient for users, while the development of portability makes the application designers can more quickly complete the text detection and recognition function.