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Design And Implementation Of Public Opinion Monitoring System For Internet Financial Enterprises

Posted on:2020-05-02Degree:MasterType:Thesis
Country:ChinaCandidate:X D WangFull Text:PDF
GTID:2518306467476384Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Faced with the continuous development of the Internet,opportunities and challenges coexist.On the one hand,the regulatory trend of the financial industry and the news reports of competitors can be quickly perceived;on the other hand,various false reports and negative statements about enterprises often bring serious public opinion crisis to Internet financial enterprises.How to strengthen the content monitoring of network public opinion,correctly deal with and judge the network public opinion,and enhance the network reputation and reputation of Internet financial enterprises has become an urgent business problem to tackle.Internet financial enterprise public opinion monitoring system is based on big data advanced technology and natural language processing technology.It can accurately collect and analyze Internet news webpage,social media,overseas media,post bar,forum,blog and other network resources.It can provide multi-dimensional and multi-angle public opinion information services such as negative information perception,hot spot information discovery,information orientation monitoring,etc.Financial enterprises provide technical support such as information supervision,public opinion discovery and assistant decision-making.This system is aimed at Internet financial enterprises,including more than 10,000 enterprises in operation recorded by technology platform.It can effectively monitor the public opinion of Internet financial enterprises by utilizing data resources of news,forum,post bar,micro-blog,micro-message and know-how channels.The system mainly includes four parts: data acquisition,data processing and analysis,and data display.and user management.My main participation in the development of the system is as follows.(1)Data Processing And Analysis: TF-IDF(Term Frequency–Inverse Document Frequency)algorithm is studied and used.Based on naive Bayesian sentiment analysis method,keyword extraction and sentiment orientation analysis of public opinion data of Internet financial enterprises are carried out.On this basis,refined analysis of public opinion of Internet financial enterprises is realized.(2)Data Display: REST(Representational State Transfer)API(Application Programming Interface)is designed and implemented,data interaction with the front-end is realized,and the overall situation of public opinion of the front-end financial enterprises is realized,and the overall list is displayed.(3)User Management: Participated in the design and implementation of user information management module in this system.
Keywords/Search Tags:Financial Public Opinion, Public Opinion Monitoring System Of Financial Enterprises, Sentiment Analysis, Hotspot Discovery
PDF Full Text Request
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