ABSTRACT

Net Neutrality is all about the neutrality in the web space. This means, no special favour to be shown to any data in the internet for whatsoever reasons.. Internet’s most powerful tool, the Social media has become an essential component of our daily life. Social media helps people, who had never been heard, heard. Anyone can freely express his/her mind without feeling intimidated. This paper deals with data from one of the most popular social media, Twitter, for understanding public perceptions and misperceptions of net neutrality. A Sentimental analysis on tweets related to net neutrality is done country wise and overall during the period 2016-2017. The classification is done using machine learning technique. Processing of tweets data is done to find sentiments of people and polarity of their tweets which helps us to determine the attitude of the people around the world.