Automated frequency-based statistical and linguistic feature process models for financial news sentiment classification

• Main Author: Yazdani, Sepideh Foroozan
• Format: Thesis
• Language: English
• Published: 2017
• Subjects: Time-series analysis; Finance-Mathematical models-Computer programs; Eimeria tenella
• Online Access: http://psasir.upm.edu.my/id/eprint/113985/1/113985.pdf; http://psasir.upm.edu.my/id/eprint/113985/; http://ethesis.upm.edu.my/id/eprint/18043

This thesis utilizes sentiment classification task within the field of artificial intelligence for financial news using the combination of machine learning, linguistics, and statistical methods. The motivation for this approach comes from human emotion and vital information that lies in the finan...