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Author Uribe, D.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2011
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods ♦ Natural sciences & mathematics ♦ Physics ♦ Electricity & electronics
Subject Keyword Measurement ♦ Accuracy ♦ Semantics ♦ sentiment classification ♦ wrappers ♦ Feature extraction ♦ Vectors ♦ filters ♦ Pattern matching ♦ feature selection ♦ Pragmatics
Abstract A hybrid feature selection method is proposed to distinguish the salient features that allow identifying the viewpoint underlying a text review, that is, to determine its sentiment polarity. This method makes use of fundamental pre-processing tasks known as filter and wrapper techniques. The effectiveness of this approach is demonstrated on a data set where each document is represented by two distinct feature vectors based on two different sets of rules.
ISBN 9781457718793
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2011-11-15
Publisher Place Mexico
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 145.93 kB
Page Count 5
Starting Page 103
Ending Page 107


Source: IEEE Xplore Digital Library