• Login
    View Item 
    •   DSpace Home
    • PROJECT REPORTS
    • SCHOOL OF COMPUTING SCIENCE & ENGINEERING
    • BCA
    • View Item
    •   DSpace Home
    • PROJECT REPORTS
    • SCHOOL OF COMPUTING SCIENCE & ENGINEERING
    • BCA
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Sentiment Analysis and Opinion Mining on E-commerce Reviews

    Thumbnail
    View/Open
    BCA3038_project_report.pdf (504.2Kb)
    Date
    2024-04
    Author
    Shashank Singh, 21SCSE1430015
    Vaibhav Singh, 21SCSE1430024
    Satyam Anand, 21SCSE1430027
    Metadata
    Show full item record
    Abstract
    Nowadays, the world is becoming more digital and customers are relying on online products which helps them to simplify their living. Therefore, the reviews provided on a product becomes an important aspect to attract and maintain customers and build a novel strategy to acquire higher position in the market. The purpose of this study is to investigate the different processes and techniques used in gathering requirements, designing, implementing and testing the reviews provided on a particular product to gain insights on customer experiences. It can be attained by using sentiment analysis and opinion mining which is defined is the computational study of people’s opinions, sentiments, attitudes, and emotions expressed in written language. It is one of the most active research areas in natural language processing and text mining in recent years..
    URI
    http://10.10.11.6/handle/1/18038
    Collections
    • BCA [103]

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV