Sentiment Analysis of Online Communities Using Swarm Intelligence Algorithms

People today spend a lot of their time on the internet and a majority of which is spent on surfing various social networks like Facebook, twitter, Instagram etc. So much time is spent online on these social hubs that our opinions, about almost everything seems to be influenced by the larger opinion formed up in these social networks. In this project, opinion mining due to social swarming is discovered using revolutionary algorithms of swarm intelligence. The build-up of sentiment in a conversation about a product or event is studied here as it provides an alternative way of analysing the presence of sentiment in online communications. In the end we hope of devising a better solution for understanding sentiments in online communication than existing methods.