Sentiment analysis: A combined approach
Journal of Informetrics (2009)
- ISSN: 17511577
- ISBN: 1568983018
- DOI: 10.1016/j.joi.2009.01.003
Available from linkinghub.elsevier.com
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Abstract
Sentiment analysis is an important current research area. This paper combines rule-based classification, supervised learning and machine learning into a new combined method. This method is tested on movie reviews, product reviews and MySpace comments. The results show that a hybrid classification can improve the classification effectiveness in terms of micro- and macro-averaged F1. F1 is a measure that takes both the precision and recall of a classifiers effectiveness into account. In addition, we propose a semi-automatic, complementary approach in which each classifier can contribute to other classifiers to achieve a good level of effectiveness.
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