Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/1909
Title: Feature vector generation tool for sentiment classification of product reviews using SVM.
Authors: Chan, Saw Nyein Aung.
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
Issue Date: 2004
Abstract: This research explores the effectiveness of SVM in sentiment classification as well as the usage of "negation" in sentiment classification.
URI: http://hdl.handle.net/10356/1909
Schools: Wee Kim Wee School of Communication and Information 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Theses

Files in This Item:
File Description SizeFormat 
WKWSCI_THESES_536.pdf
  Restricted Access
804.37 kBAdobe PDFView/Open

Page view(s) 50

444
Updated on Oct 3, 2024

Download(s)

3
Updated on Oct 3, 2024

Google ScholarTM

Check

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