Profile Based Mobile App Classification On Analyzing The App Reviews By Using Contextual Information Of App

Computer Enggineering

Today, use of mobile devices is increasing rapidly day by day; huge numbers of mobile apps are coming into the market. Mobile apps are coming from different vendors. These apps are useful and effective for various purposes like making it easy and time efficient for the user to select the required app, understanding the user preferences that motivates an intelligent personalized services, etc. Website and apps can be managed through the smart phones. Mobile website display similarly as other websites those are browser-based HTML pages are linked together and accessed via the Internet. Effective classification of mobile apps is required for which there is a need to have detailed information about the app. However this is non-incidental task as limited contextual information is available. As the information available about the apps is very less and unused, classification of the apps can also be considered as coming into the category of classification of less and unused text. Different methods are available to classify the less and unused text are present, which can be used for classification of the mobile apps that are not effectively worked to gain the proper contextual information of mobile apps.

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