Sentiment financial text mining system

• Main Author: Seow, James Wui Kok.
• Other Authors: Lim Meng Hiot
• Format: Final Year Project
• Language: English
• Published: 2009
• Subjects: DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
• Online Access: http://hdl.handle.net/10356/18439
• Institution: Nanyang Technological University

This report documented the various approaches and technologies that are investigated in designing a Sentiment Financial Text Mining System. The report shall discuss how Text Categorization Technique and Document Ranking Technique can be combined to introduce multiple level classifications ranking for the Sentiment Financial Text Mining System to benefit end user.