Text mining of news articles to detect violation of human rights
Date
2018-12
Journal Title
Journal ISSN
Volume Title
Publisher
BRAC University
Abstract
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.
Description
Includes bibliographical references (page 40).
Cataloged from PDF version of thesis.
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
Cataloged from PDF version of thesis.
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
Keywords
Text mining, News articles, Violation, Human rights
