TWITTER SENTIMENT ANALYSIS USING MACHINE LEARNING

Abstract - People use Twitter extensively to share their thoughts and feelings on a variety of situations.
Sentiment analysis is a method for examining data and extracting the sentiment it contains. Twitter
sentiment analysis is the process of applying sentiment analysis to Twitter data (tweets) in order to
identify user sentiments. The amount of study in this area has steadily increased over the last few
decades. This is because tweets have a complex format that makes processing them challenging.
Because tweets are so brief, they create a whole new set of issues, such as slang and abbreviations.
The purpose of this study is to analyse a few studies on sentiment analysis on Twitter, including the
approaches used and models used, as well as outlining a broader Python-based strategy.

Key Words: Python, natural language processing, machine learning, and sentiment analysis.