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Title: Sentiment financial text mining system
Authors: Seow, James Wui Kok.
Keywords: DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Issue Date: 2009
Abstract: 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.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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