Sentiment analysis: A combined approach

K.Reddy's picture
Publication Author: 
Rudy Prabowo
Mike Thelwal
Series: 
2
Volume: 
3

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 classifier’s 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.

Year: 
2009
Type of paper: 
Journal Article
Publisher: 
Elsevier