Manual Fakeapp Detection Using Sentimental Analysis through Webpage

International Journal of Research and Scientific Innovation (IJRSI) | Volume V, Issue IV, April 2018 | ISSN 2321–2705

Manual Fakeapp Detection Using Sentimental Analysis through Webpage

T. Sathish¹, T.S.Abinaya², B.Anupriya³, L.Uma⁴

¹ M.Tech. Assistant Professor, Department of CSE, Selvam College of Technology, Namakkal, India
^{2, 3, 4} UG Student, Department of CSE, Selvam College of Technology, Namakkal, India.

Abstract: Now a day’s fake app is increasing in Google play store and it is launched with the popular names which cause major challenges in current scenario. Some fraudulent developers deceptively boost the search rank and popularity of their app. We came with an idea where a webpage with PHP along with the sentimental analysis is used to process the rank and comment given by the user where the comment percentage and rate percentage accuracy automatically maintained and a graph which shows the app range is created. This analyzing method has to be done manually due to insuffiency of Google play store source. In future we will manipulate automatic analyzer to reveal more accuracy for this; process should have adequate sanction from Google to append webpage in their Google play store itself. Once we will get adequate sanction from Google, we append the webpage and the sentimental analyzer which work directly in Google page itself.

Keywords: Mobile phones, ranking, rating, review and sentimental analysis.

I. INTRODUCTION

In this paper, a detailed analysis of various works related to sentimental analysis is taken .Sentimental analysis basically involves classification, but the content that actually contains the sentiment must be identified. The emotional analysis is sometimes merged with sentimental analysis in which case multiple tuples come into use. The mobile applications are increasing in day by day. Different types of apps can be used in mobile phones. These kinds of apps can be downloaded freely in Google play store and the apps have no cost. In Google play store all apps are not original. They introduce some fake apps the user cannot identify the fake app. Ranking fraud in the mobile app market refers to fraudulent or deceptive activities which have a purpose of bumping up the apps in the popularity list. App downloads appraisals and surveys in a brief timeframe. For instance, an article from Venture Beat reported that, when an App was advanced with the assistance of positioning control, it could be moved from number 1,800 to the main 25 in Apple’s sans top pioneer board and more than 50,000-100,000 new clients could be gained inside of a few days. Truth be told, such positioning extortion raises awesome worries to the versatile App industry. aggregation that contains some text as comments as reviews by the app user and Before downloading or using the app user mostly refer to the reviews given by most of the users.

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