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Optimizing Feature Selection Techniques for Sentiment Classification

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1 Author(s)
Uribe, D. ; Inst. Tecnol. de la Laguna, Torreon, Mexico

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.

Published in:

Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2011 IEEE

Date of Conference:

15-18 Nov. 2011