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    •   BracU IR
    • School of Data and Sciences (SDS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Sentiment analysis for Bengali newspaper headlines

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    13301040, 13301120, 13101289 _ CSE.pdf (972.5Kb)
    Date
    2017
    Publisher
    BRAC University
    Author
    Hossain, Mohammad Samman
    Jui, Israt Jahan
    Suzana, Afia Zahin
    Metadata
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    URI
    http://hdl.handle.net/10361/8246
    Abstract
    In this project, we propose a system that assigns scores indicating positive or negative to newspaper headlines. Many works have been done on sentiment analysis, document clustering for newspaper headlines in English. We are going to do the same for Bengali language. News headlines from one Bengali newspaper [1] is used for the purpose of the project. As there is no dataset of headlines for this newspaper, we are using web crawler to get necessary headlines to make a dataset to use for this project. For our proposed system, a number of classifiers will be used such as Support Vector Machine [2], Logistic Regression [17] etc. Through the experiments, our aim is to establish a system, which can identify positive and negative news accurately.
    Keywords
    Sentiment analysis; SVM; Boosted tree; Logistic; Bengali; Classifiers
     
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 35 - 37).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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