Sentiment financial text mining system

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 fo...

Full description

Saved in:

Bibliographic Details
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
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-18439
record_format	dspace
spelling	sg-ntu-dr.10356-184392023-07-07T15:47:19Z Sentiment financial text mining system Seow, James Wui Kok. Lim Meng Hiot School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval 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. Bachelor of Engineering 2009-06-29T02:42:39Z 2009-06-29T02:42:39Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/18439 en Nanyang Technological University 111 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
spellingShingle	DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval Seow, James Wui Kok. Sentiment financial text mining system
description	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.
author2	Lim Meng Hiot
author_facet	Lim Meng Hiot Seow, James Wui Kok.
format	Final Year Project
author	Seow, James Wui Kok.
author_sort	Seow, James Wui Kok.
title	Sentiment financial text mining system
title_short	Sentiment financial text mining system
title_full	Sentiment financial text mining system
title_fullStr	Sentiment financial text mining system
title_full_unstemmed	Sentiment financial text mining system
title_sort	sentiment financial text mining system
publishDate	2009
url	http://hdl.handle.net/10356/18439
_version_	1772827132552019968

Sentiment financial text mining system

Similar Items