POS-RS: A Random Subspace method for sentiment classification based on part-of-speech analysis
The rise of social media has fueled interest in sentiment classification. POS-RS is proposed for sentiment analysis based on part-of-speech analysis. Ten public datasets were investigated to verify the effectiveness of POS-RS. Experimental results reveal POS-RS can be used as a viable method.
random subspace sentiment classification part of speech ensemble learning