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    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Improving product rating system with text mining on product review/comments

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    10101023, 14141015 & 10101027.pdf (514.3Kb)
    Date
    2014-04-30
    Publisher
    BRAC University
    Author
    Karim, Md. Ahsanul
    Islam, Raduanul
    Ahmed, Sk. Wasif
    Metadata
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    URI
    http://hdl.handle.net/10361/3221
    Abstract
    It is often considered a better exercise to have a complete idea of a particular service or a product before availing it. Now a days almost every online shopping sites or even the manufacturer of the product has a star based rating system and review/comment zone in their website. It is often not feasible to go through all the review before purchasing or availing that particular product. So people often tends to have an idea based on the number of stars on that product.Currently available systems use a star based rating where people rate the service or product on the scale of 5 or 10. The problem with that is when they give those rating stars they often tends to give it without giving much thought to it. User experience level and his mind set while rating varies very much. For example a person who loves particular brand of Soda, if he drink soda of another brand he might rate it lower than what it should be because he is used to a particular brand. But when he writes a review the chances are higher that he will write the major positive and negative aspects of that product . Thus the chances of getting a better feedback comes when it is review rather than stars. But as it has been mentioned earlier, going through all the reviews are not feasible. So we tried to improve the rating system by extracting information from the review text by using text mining technique upon that.
    Keywords
    Computer science and engineering
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 23).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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