Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/18439
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.
URI: http://hdl.handle.net/10356/18439
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
Binder1.pdf
  Restricted Access
7.23 MBAdobe PDFView/Open

Page view(s) 20

272
checked on Sep 28, 2020

Download(s) 20

7
checked on Sep 28, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.