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Use of negation phrases in automatic sentiment classification of product reviews
2005
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This paper reports a study in automatic sentiment classification, i.e., automatically classifying documents as expressing positive or negative sentiments. The study investigates the effectiveness of using a machine-learning algorithm, support vector machine (SVM), on various text features to classify on-line product reviews into recommended (positive sentiment) and not recommended (negative sentiment). In the first part of this study, several approaches, unigrams (individual words), selected
doi:10.1080/14649055.2005.10766050
fatcat:3meu3dlpefcizj4hcjdlcda42e