Text mining of news articles to detect violation of human rights

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.

Keywords

Text mining, News articles, Violation, Human rights

Citation

Endorsement

Review

Supplemented By

Referenced By