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dc.contributor.advisorUddin, Dr. Jia
dc.contributor.authorRabbi, Reshan Ahmed
dc.contributor.authorKhan, Md. Walid Amin
dc.contributor.authorShaown, Md.
dc.contributor.authorAlam, Md. Shajidul
dc.date.accessioned2018-02-15T05:29:19Z
dc.date.available2018-02-15T05:29:19Z
dc.date.copyright2017
dc.date.issued2017-12-24
dc.identifier.otherID 13301078
dc.identifier.otherID 13301034
dc.identifier.otherID 13301133
dc.identifier.otherID 13301075
dc.identifier.urihttp://hdl.handle.net/10361/9474
dc.descriptionThis thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.en_US
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (pages 29-30).
dc.description.abstractIn modern days, people tend to check reviews and opinions on a product before buying. The main goal of our system is according to the public opinion of a product, give a rating to the product on a scale of 0 to 10. Also, we are plotting this rating for better understanding of how every attribute of a product stands against time. For public opinion, we collected data from twitter. The reason behind using twitter tweets is because it is one of the most popular social sites. The data is pre -processed and then filtered for irrelevant characters. The data is then clustered based on different attributes of product. After that using the Naïve Bayes classifier we do a sentiment analysis of the data to calculate the polarity. This polarity is then converted to a scale of 0 to 10 (where 5 is average) and thus the rating of an individual product is obtained. This polarity for each product for every attribute is plotted in a graph where axis-x represents time and axis-y represents polarity.en_US
dc.description.statementofresponsibilityReshan Ahmed Rabbi
dc.description.statementofresponsibilityMd. Walid Amin Khan
dc.description.statementofresponsibilityMd. Shaown
dc.description.statementofresponsibilityMd. Shajidul Alam
dc.format.extent30 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis reports 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.subjectSentiment analysisen_US
dc.subjectProduct Ratingen_US
dc.subjectRating generationen_US
dc.subjectAxis-xen_US
dc.subjectAxis-yen_US
dc.titleProduct rating generation based on public opinion using sentiment analysisen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering


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