Book recommendation system using opinion mining technique

With the changing trends in technologies, and brisk growth in Internet, daily life of an individual has also changed at a very fast pace. The impacts of these technologies are so diverse that it has affected almost every sphere of the life. People start using applications of the Internet in their daily life; they prefer online shopping for their needs more and more. For academician, researchers and students, purchasing the desired book from huge collections of books on the Internet is very tedious work. In this paper, we presented a recommendation technique based on opinion mining to propose top ranked books on different discipline of the computer science. Based on the need of the customers and the reviews collected from them, we have categorized features for the books. We analyze the features on the basis of several characteristics that we have categorized and reviews of the users. Weights are assigned to categorized features according to their importance and usage, and accordingly the ranks are given. Finally, top ten ranked books are listed. This method is expected to be helpful for millions of the users who seek for desired books.