A Research On Antispamming SMS Based On Big Data Analysis And Business Benefit Studies

Short message system has experienced 15 years of rapid development of business,which has brought huge economic benefits to operators.Now it is running smoothly.How to continue to develop new technologies to improve customer satisfaction and economic benefits in the stable period,and to improve the company's efficiency,has always been the research direction of efforts.The construction scheme of antispamming SMS based on large data analysis can not only show good results with trial operation data,but also show the superiority of the scheme through economic evaluation.In traditional solutions,it is difficult to further improve the effectiveness of interception,and the construction cost of the project is high,so there is no space for optimization.Therefore,this article abandons the traditional way and uses innovative technology to study the antispam SMS scheme based on big data analysis.The interception effect has been greatly improved in the field of technology.Maximum extent to avoid malicious arrears can not be recovered.,reduce the wrong accounts in the network settlement,a lot of losses have been saved for the company,and considerable investment has been saved in the cost of project investment.This article analyses the defects of the system and puts forward three different construction schemes.The best scheme is obtained through comprehensive analysis.Then the project construction is carried out,and the remarkable effect of this technology on spam short message interception is demonstrated from three perspectives of keywords,blacklist and user satisfaction.The economic benefit of this technology is verified by engineering economic evaluation,which is more cost-saving than the traditional scheme and further improves the company's efficiency.This scheme adopts Hadoop Map Reduce big data computing architecture,uses Bayesian classification analysis and other methods to judge antisppaming messages,with combines data analysis.The results show that the number of keyword hits in spam short message interception scheme based on big data analysis has increased significantly,the number of TOP1 keyword hits has increased by 227%,The number of effective keywords is 3 times higher than that of traditional schemes.The number of effective blacklists per day and the number of intercepted spam messages increased significantly after the transformation.Visit users before redevelopment,80% of the users have a good perception of antispamm system and satisfaction.Through the economic evaluation of the pre project projects,The economic internal rate of return is 36.1%.The financial static investment recovery period is 3.16 years.The financial net present value is 714 thousand yuan,and the economic benefit of the project is feasible.From the cost and efficiency of project construction,The traditional expansion plan needs to repurchase a lot of hardware.The new scheme reduces the project cost investment by 810 thousand compared with the traditional one.From the analysis of system operation results,the new scheme achieves 2 million 70 thousand economic benefits.From project construction to one year trial run,the total benefit of 2 million 880 thousand yuan will be achieved.It can be seen that the application of innovative technology in enterprises has far-reaching significance.From this point of view,the application of a new technology can greatly increase productivity and economic efficiency.Operators should encourage innovation and development of new technologies,improve the diversity and flexibility of business implementation.The research on antispamming SMS scheme based on big data analysis fully illustrates the accuracy and efficiency of data analysis in big data era,and provides comprehensive experience for data calculation and in-depth analysis in other fields.