In the age of social media, it is more convenient for individuals to articulate their thoughts
and emotions. Each day, they disseminate their perspectives and notions on various social
media platforms about ongoing global events. On controversial issues, one can find a
consensus of public feeling, whether positive or negative. Twitter functions as a
demonstration of a social media platform where individuals participate in discussions about
their perspectives. Twitter sentiment analysis examines the overall feeling or emotion …

Sentiment analysis of Twitter data is an area that has experienced significant growth in
recent years. The ability to identify sentiment from tweets using machine learning techniques
has attracted researchers because of the simple efficiency of machine learning techniques.
This paper tackles the use of machine learning algorithms and Scikit-learn in sentiment
analysis of Twitter data. To do this, we perform analyses on Twitter datasets made publicly
available by NLTK Corpora and create an efficient feature by using a feature extraction …