Sentiment analysis for Bengali newspaper headlines

dc.contributor.advisorAli, Md. Haider
dc.contributor.authorHossain, Mohammad Samman
dc.contributor.authorJui, Israt Jahan
dc.contributor.authorSuzana, Afia Zahin
dc.date.accessioned2017-06-19T05:59:57Z
dc.date.available2017-06-19T05:59:57Z
dc.date.issued2017
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 35 - 37).
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
dc.description.abstractIn 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.
dc.identifier.otherID 13301040
dc.identifier.otherID 13301120
dc.identifier.otherID 13101289
dc.identifier.otherhttps://dspace.bracu.ac.bd/server/api/core/items/6af1887c-7484-4882-a762-8d63e5a842d3
dc.identifier.urihttp://hdl.handle.net/10361/8246
dc.language.isoen
dc.publisherBRAC University
dc.sourceBRAC University Institutional Repository
dc.subjectSentiment analysis
dc.subjectSVM
dc.subjectBoosted tree
dc.subjectLogistic
dc.subjectBengali
dc.subjectClassifiers
dc.titleSentiment analysis for Bengali newspaper headlines
dc.typeThesis

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