Design And Implementation Of The Mobile Spam Filtering Software Based On Content

Mobile phones have become the essential communication tools in daily life withthe popularity of3G networks in China.But the proliferation of spam cause greatinconvenience to the users, also bring a certain social harm. So the spam filteringbecomes a urgent need of customers, also a research focus.This article discuss the mobile client spam filtering system by researching a varietyof text mining classification methods and the original methods combined.Designed andimplemented the suiting spam filtering software for the mobile phone.Firstly this paperdiscusses text mining theory and technology, the BREW platform technology used bythe software. Secondly compares the text classification method based on statistics. Andthen introduces the detailed design of each modules and filtration processes, gives thespecific realization of each module and the performance of the software test results.Finally, summarizes the work and makes a prospect of future work.According to the results of the tests,this Mobile software In the paper basicallymeet the requirements of the actual use of mobile phone users. By giving users withblack and white list function, it can meet the user’s personal needs better,and improvesthe efficiency of spam filtering.