Detecting Fraud Apps Using Sentiment

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Detecting Fraud Apps Using Sentiment 

Detecting Fraud Apps Using Sentiment

Detecting Fraud Apps Using Sentiment System dot net project report paper ,we have given a comprehensive perspective of positioning misrepresentation and recommended positioning extortion identification framework.Positioning misrepresentation for versatile application showcase alludes to fake or tricky exercises which have a reason for knocking up the applications in the prominence list. It turns out to be more continuous for application designers to utilize shady means, for example, expanding their applications deals ,to submit positioning misrepresentation. Click here to get complete Dot Net projects lists.

Most of us use android and IOS Mobiles these days and also uses the play store or app store capability normally. Both the stores provide great number of application but unluckily few of those applications are fraud.

Conclusion

Our Detecting Fraud Apps Using Sentiment dot net project report system will detect the ranking frauds based on three types of evidences, such as ranking based evidences, rating based evidences and review based evidences. Further, an optimization based aggregation method combines all the three evidences to detect the fraud.

System Configuration:

H/W System Configuration:- 

System          : Pentium I3 Processor.
Hard Disk       : 500 GB.
Monitor          : Standard LED Monitor
Input Devices : Keyboard
Ram               : 4 GB

S/W System Configuration:-

Operating system              : Windows 7/8/10.
Available Coding Language : Dot Net and PHP
Database                          : MYSQL

Project Name Detecting Fraud Apps Using Sentiment
Project Category Dot Net
Project Cost 65$/ Rs 4999
Delivery Time 48 Hour
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