Sentiment Classification through Semantic Orientation Using SentiWordNe

<p>In decision making, the opinions of others have<br>a significant effect on customers ease in making choices regards to online shopping, choosing events, products,<br>entities. In this paper, a rule based domain independent sentiment analysis method is proposed. The proposed<br>method classifies subjective and objective sentences from reviews and blog comments. The semantic score of<br>subjective sentences is extracted from SentiWordNet to calculate their polarity as positive, negative or neutral based<br>on the contextual sentence structure. The results show the effectiveness of the proposed method and it outperforms<br>the machine learning methods. The proposed method achieves an accuracy of 87% at the feedback level and 83% at<br>the sentence level for comments.</p> <p>