Sentimental Analysis Of Twitter Data Using Machine Learning

Abstract

Social networks are the main resources to gather information about people’s opinion and sentiments
towards different topics as they spend hours daily on social medias and share their opinion. In this technical paper,
we show the application of sentimental analysis and how to connect to Twitter and run sentimental analysis queries.
We run experiments on different queries from politics to humanity and show the interesting results. We realized
that the neutral sentiment for tweets are significantly high which clearly shows the limitations of the current