Sentiment analysis of healthcare Tweets using SVM Classifier

Web-based social media offers countless opportunities to have their valuable suggestions for experiences. Twitter can be used effectively in current circumstances and with open modern developments to collect data as opposed to social relationship data in traditional techniques. Twitter is perhaps the most loyal member's online large frequency advantage that encourages individuals to communicate and collect data. Here we discuss which country/place frequently speaks about specific diseases. We can forecast where the disease's impact will be important. This system handles the problems that occur during the Sentiment Analysis cycle spent; ongoing tweeting are known to be rich sources of data for evaluation extraction and feeling study. The basic aim of this system is to carry out a continuous sentimental review of the tweets removed by twitter.