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Feature extraction and analysis of online reviews for the recommendation of books using opinion mining technique

Feature extraction and analysis of online reviews for the recommendation of books using opinion mining technique

Starting at: Rs.5,500.00

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Feature extraction and analysis of online reviews for the recommendation of books using opinion mining technique

The customerís review plays an important role in deciding the purchasing behaviour for online shopping as a customer prefers to get the opinion of other customers by bserving their opinion through online productsí reviews, blogs and social networking sites, etc. The cus-tomerís reviews reflect the customerís sentiments and have a substantial significance for the products being sold online including electronic gadgets, movies, house hold appliances and books. Hence, extracting the exact features of the products by analyzing the text of reviews requires a lot of efforts and human intelligence. In this paper we intend to analyze th e online reviews available for books and extract book-features from the reviews using human intelli-gence. We have proposed a technique to categorize the features of books from the reviews of the customers. The extracted features may help in deciding the books to be recommended for readers. The ultimate goal of the work is to fulfil the requirement of the user and provide them their desired books. Thus, we have evaluated our categorization method by users themse lves,and surveyed qualified persons for the concerned books. The survey results show h igh precisionof the features categorized which clearly indicates that proposed method is very useful and appealing. The proposed technique may help in recommending the best books for concern edpeople and may also be generalized to recommend any product to the users



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  • Model: PROJ7731
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

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This product was added to our catalog on Thursday 10 August, 2017.

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