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Text mining of news articles to detect violation of human rights

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bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorAlam, Md. Ashraful
dc.contributor.authorMahmud, A M Saif
dc.contributor.authorAhmed, Talha
dc.contributor.authorHakim, Azrin
dc.contributor.authorSultana, Tanjida
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2019-02-17T06:29:00Z
dc.date.available2019-02-17T06:29:00Z
dc.date.copyright2018
dc.date.issued2018-12
dc.descriptionIncludes bibliographical references (page 40).
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionThis thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.en_US
dc.description.abstractViolation of people’s basic rights is a crime in almost every country in the world. However, many incidents in the real world gets passed unnoticed of legal attention. In this paper, we attempted to propose a model to detect violation of human rights, present in the incidents reported and stored in the form of news articles. Upon detecting the events of infringement, our model would classify a particular event to its specific type of breach, identify the location where the event has taken place and finally point out the geographical locations in a map for visualization. The system has been built on by using the news article archives of online news websites of The Daily Star, Prothom Alo and Dhaka Tribune.en_US
dc.description.degreeBachelor of Science in Computer Science and Engineering
dc.description.statementofresponsibilityA M Saif Mahmud
dc.description.statementofresponsibilityTalha Ahmed
dc.description.statementofresponsibilityAzrin Hakim
dc.description.statementofresponsibilityTanjida Sultana
dc.format.extent40 pages
dc.identifier.otherID 15101045
dc.identifier.otherID 15101095
dc.identifier.otherID 15101049
dc.identifier.otherID 15101013
dc.identifier.urihttp://hdl.handle.net/10361/11419
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University theses 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.subjectText miningen_US
dc.subjectNews articlesen_US
dc.subjectViolationen_US
dc.subjectHuman rightsen_US
dc.subject.lcshText processing (Computer science)
dc.subject.lcshDocument clustering.
dc.subject.lcshNatural language processing (Computer science)
dc.subject.lcshData mining.
dc.titleText mining of news articles to detect violation of human rightsen_US
dc.typeThesisen_US

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Thesis (Bachelor of Science in Computer Science and Engineering)