Organizing news articles and editorials through information extraction and sentiment analysis

• Main Authors: Cheng, Charibeth, Cagampan, Bernadyn, Lim, Christine Diane
• Format: text
• Published: Animo Repository 2016
• Subjects: Natural language generation (Computer science); Computational linguistics; Sentiment analysis; Text data mining; Computer Sciences; Software Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3515
• Institution: De La Salle University

How can we organize voluminous amount of news articles to facilitate better search options and analysis? We propose the use of natural language processing techniques, specifically information extraction and sentiment analysis, to allow easier data analysis on news articles and editorials. The propos...