• Login
    • Library Home
    View Item 
    •   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
    •   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
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Automated short answer scoring

    Thumbnail
    View/Open
    12101115, 13201082 & 12141001_CSE.pdf (1.626Mb)
    Date
    2016-12-14
    Publisher
    BRAC University
    Author
    Mithu, M. Rayhan Ahmed
    Robin, Syed Mohammad Moinul Islam
    Kamal, Moumita
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/10361/7600
    Abstract
    In our thesis we have worked to analyses text short answers then predict the score accordingly by using different extracted features. In our research we have used around 1700 data for each dataset and are scored by two different humans provided by the Hewlett foundation available in Kaggle. We have used different NLP techniques to process the data in order to use it to the classifiers. Sckit was used to implement the algorithms of the different classifiers. The data were divided into two different data sets, one of them was the training set and the test set. The training set data was used to train the different classifiers afterwards the test set data was given to the classifiers to predict the score. The predicted score was compared with the score given by the humans to find the efficiency and accuracy of the different classifiers.
    Keywords
    NLP techniques; Automated scoring; Short answer
     
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 62-64).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

    Copyright © 2008-2019 Ayesha Abed Library, Brac University 
    Contact Us | Send Feedback
     

     

    Policy Guidelines

    • BracU Policy
    • Publisher Policy

    Browse

    All of BracU Institutional RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    Copyright © 2008-2019 Ayesha Abed Library, Brac University 
    Contact Us | Send Feedback