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.
Optimizing Feature Selection Techniques for Sentiment Classification
01.11.2011
149430 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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