Text mining of news articles to detect violation of human rights
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
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BRAC University
2019
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| Online toegang: | http://hdl.handle.net/10361/11419 |
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10361-114192022-01-26T10:20:05Z Text mining of news articles to detect violation of human rights Mahmud, A M Saif Ahmed, Talha Hakim, Azrin Sultana, Tanjida Alam, Md. Ashraful Department of Computer Science and Engineering, BRAC University Text mining News articles Violation Human rights Text processing (Computer science) Document clustering. Natural language processing (Computer science) Data mining. This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Includes bibliographical references (page 40). Cataloged from PDF version of thesis. Violation 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. A M Saif Mahmud Talha Ahmed Azrin Hakim Tanjida Sultana B. Computer Science and Engineering 2019-02-17T06:29:00Z 2019-02-17T06:29:00Z 2018 2018-12 Thesis ID 15101045 ID 15101095 ID 15101049 ID 15101013 http://hdl.handle.net/10361/11419 en BRAC 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. 40 pages application/pdf BRAC University |
| institution |
Brac University |
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Institutional Repository |
| language |
English |
| topic |
Text mining News articles Violation Human rights Text processing (Computer science) Document clustering. Natural language processing (Computer science) Data mining. |
| spellingShingle |
Text mining News articles Violation Human rights Text processing (Computer science) Document clustering. Natural language processing (Computer science) Data mining. Mahmud, A M Saif Ahmed, Talha Hakim, Azrin Sultana, Tanjida Text mining of news articles to detect violation of human rights |
| description |
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. |
| author2 |
Alam, Md. Ashraful |
| author_facet |
Alam, Md. Ashraful Mahmud, A M Saif Ahmed, Talha Hakim, Azrin Sultana, Tanjida |
| format |
Thesis |
| author |
Mahmud, A M Saif Ahmed, Talha Hakim, Azrin Sultana, Tanjida |
| author_sort |
Mahmud, A M Saif |
| title |
Text mining of news articles to detect violation of human rights |
| title_short |
Text mining of news articles to detect violation of human rights |
| title_full |
Text mining of news articles to detect violation of human rights |
| title_fullStr |
Text mining of news articles to detect violation of human rights |
| title_full_unstemmed |
Text mining of news articles to detect violation of human rights |
| title_sort |
text mining of news articles to detect violation of human rights |
| publisher |
BRAC University |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10361/11419 |
| work_keys_str_mv |
AT mahmudamsaif textminingofnewsarticlestodetectviolationofhumanrights AT ahmedtalha textminingofnewsarticlestodetectviolationofhumanrights AT hakimazrin textminingofnewsarticlestodetectviolationofhumanrights AT sultanatanjida textminingofnewsarticlestodetectviolationofhumanrights |
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1814309189206409216 |