The design and implementation of opinion extraction system based on Distributed network

Autor: Shiping Chen, Zhenquan Shi
Rok vydání: 2015
Předmět:
Zdroj: Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference.
ISSN: 2352-538X
Popis: With the rapid growth of Internet users, how to quickly find the hot spots and sensitive topics of forums, microblogging and other social networking sites, to achieve forecast and early warning network of public opinion, it's a huge technical challenge to the researchers. In this paper, Redis memory database has been used to do the re-processing of the URL. Through .Net Remoting, the technology of remote communication mechanism, and the index and retrieval framework provided by Lucene, the Web-based distributed network public opinion extraction system has been achieved. The experiments show that the system can effectively improve the quality and efficiency of the Web for network public opinion extraction, and the implementation of the system provides a better solution for network monitoring public opinion.
Databáze: OpenAIRE