Sentiment classification of online product reviews using product features
Neda Aleebrahim, Mohammad Fathian, Mohammad Reza Gholamian · International Conference on Data Mining · 2011
There is a great number of online product reviews on the Internet which needs to be organized. In this paper, we consider the problem of sentiment classification of online reviews to determine the overall semantic orientation of customer reviews. Our proposed method for review classification is a supervised machine learning method based on extracting product features and the polarity of opinions expressed about the features.