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Sentiment analysis for Bengali newspaper headlines

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dc.contributor.advisor Ali, Md. Haider
dc.contributor.author Hossain, Mohammad Samman
dc.contributor.author Jui, Israt Jahan
dc.contributor.author Suzana, Afia Zahin
dc.date.accessioned 2017-06-19T05:59:57Z
dc.date.available 2017-06-19T05:59:57Z
dc.date.copyright 2017
dc.date.issued 2017
dc.identifier.other ID 13301040
dc.identifier.other ID 13301120
dc.identifier.other ID 13101289
dc.identifier.uri http://hdl.handle.net/10361/8246
dc.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. en_US
dc.description Cataloged from PDF version of thesis report.
dc.description Includes bibliographical references (page 35 - 37).
dc.description.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. en_US
dc.description.statementofresponsibility Mohammad Samman Hossain
dc.description.statementofresponsibility Israt Jahan Jui
dc.description.statementofresponsibility Afia Zahin Suzana
dc.format.extent 37 pages
dc.language.iso en en_US
dc.publisher BRAC University en_US
dc.rights BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Sentiment analysis en_US
dc.subject SVM en_US
dc.subject Boosted tree en_US
dc.subject Logistic en_US
dc.subject Bengali en_US
dc.subject Classifiers en_US
dc.title Sentiment analysis for Bengali newspaper headlines en_US
dc.type Thesis en_US
dc.contributor.department Department of Computer Science and Engineering, BRAC University
dc.description.degree B. Computer Science and Engineering


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