Sentiment financial text mining system.
Seow, James Wui Kok.
Date of Issue2009
School of Electrical and Electronic Engineering
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.
DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Final Year Project (FYP)
Nanyang Technological University