Abstract: In today’s world, there is a tremendous amount of data generated and available on social networking websites. Researchers are always on the lookout for huge amounts of data for analysis purpose and hence, this type of data obtained from such sites can be of great use for them. One of the major problem in social networking is that the user can send friend request to anyone they know or they don’t know and are more prone to get false data or reviews. Accepting friend requests does not determine how strong the friendship is. One of our major objectives is to determine the friendship strength between two users based on the interactions between them. The users’ privacy here, is an important concern and thus we would be performing the mining in a purely ethical manner. Based on this friendship strength of the user, we are going to perform targeted advertisement by posting advertisement of various products and also generate true reviews about that product by collecting individual reviews of each user. The targeted advertising will not only help in posting advertisements of products that are of the users interest but will also boost businesses since only those advertisements will be posted to the users page that the user is more likely to buy. We can state that the reviews obtained on our website for trending products were true. The products who got good positive reviews on our site were true because we have verified about the popularity of these products. The Market demand for these products rose highly to a great level and hence, we can conclude that our system gives true reviews.
Keywords: Review based Forecasting, Social Network Mining, Targeted Advertising, True Reviews.
Title: Rule Based Social Network Mining and Forecasting For True Reviews
Author: Nabeel Khot, Aziz Mandasaurwala, Moin Rakhangi
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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