Ali, Md. HaiderHossain, Mohammad SammanJui, Israt JahanSuzana, Afia Zahin2017-06-192017-06-1920172017ID 13301040ID 13301120ID 13101289http://hdl.handle.net/10361/8246Cataloged from PDF version of thesis report.Includes bibliographical references (page 35 - 37).This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.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.37 pagesenBRAC 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.Sentiment analysisSVMBoosted treeLogisticBengaliClassifiersThesis