Social media based linking approach for finding the effectiveness of the social issues

This paper introduces sentiment analysis based technique to determining the effectiveness of the post related to the various social issues through people feedback their suggestions and comments corresponding to that social issue posted on social media. The main contribution towards this paper is (i) to analyze and interpret public opinion and sentiments related to the post posted on the social media (ii) to calculate the effectiveness of that post corresponding to that social issue. For this we have used Sentiword net to classify the words as positive or negative and used the concept of Naive Bayes to classify the feedback into positive and negative classes using probability based function and support vector machine to create decision boundary from which we can determine the effectiveness of the post.