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Microblog sentiment analysis for rating TV shows

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bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorMostakim, Moin
dc.contributor.authorAbdullah, Ashik
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2017-05-30T06:09:26Z
dc.date.available2017-05-30T06:09:26Z
dc.date.copyright2017
dc.date.issued4/18/2017
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 48-51).
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.en_US
dc.description.abstractSentiment analysis is being used on many fronts to extract public sentiment. It can collect data automatically from micro blogging sites,such as Twitter. This user generated data can be used for various application. For example we can make product review, predict future events such as election results etc. For a TV show to gain market and to quantify its success,public opinion can be extracted to find the popularity of a particular TV show. People nowadays are writing on micro blogging sites about various TV shows they are watching.en_US
dc.description.degreeBachelor of Science in Computer Science and Engineering
dc.description.statementofresponsibilityAshik Abdullah
dc.format.extent51 pages
dc.identifier.otherID 15141008
dc.identifier.urihttp://hdl.handle.net/10361/8205
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC 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.subjectMicroblog sentimenten_US
dc.subjectRating TVen_US
dc.titleMicroblog sentiment analysis for rating TV showsen_US
dc.typeThesisen_US

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