Consumer Product Recommendation System based on Text and Context Mining

Chetankumar, Madane, Shreya Gadikar, Anand Deshmukh, Himanshu Kumar
2018 International Engineering Research Journal   unpublished
ARTICLE INFO Business Analysis (BA) is a concept of applying a set of technologies to convert data into meaningful information. Large amounts of data originating in different formats and from different sources can be consolidated and converted to key business knowledge. Modeling and analysis are two critical steps in any process redesign effort. Data mining and Business analysis work together to process data and analyze it in a way that eases the workload for the users and aids with the
more » ... nding of the materials. Business analysis focuses more on data integration and simulation of data. The organization current issue, the new breed of technique is required that has mining the data reviews and classify to its ratings. The design of such a hierarchical simulation tool called business analysis tool. Dependence of users on web applications is increasing very rapidly in recent time, hence Star based ratings are used in these product sites. But existing system is unable to make proper use of the customer's given comments. Prediction and Classification of web application contains brand wise sorting of products but feature wise ratings and sorting is not available. This system will give textual classification based on customer's comments of particular product. This will enable the feature wise ratings and accurate sorting of the product which aims towards better user experience and increased product sales.
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