• Foziya Rizwan
• Mr. Mahesh

Twitter is a platform that is widely used to express your opinions and express feelings on different occasions. Emotional analysis is a way to analyze data and restore the emotions it embodies. The Twitter Sentiment Analysis is an application to analyze the sentiment of Twitter data (Tweets) in order to extract the sentiments transmitted by the user. Research in this area has evolved over the past few decades. The reason behind this is that the shape of a hard tweet makes processing difficult. The tweet format is very small, which creates a completely new problem, such as the use of slangs, acronyms, and so on. In this paper, our goal is to review some of the research on emotion analysis research on Twitter, describe the methods and applications used, and describe Python-based methods.

Twitter Data, Python, Sentiment Analysis, Opinion Mining, Data Analysis

"Sentiment Analysis of Twitter Data Set: A Reviews", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.586-589, May-2019, Available :http://www.jetir.org/papers/JETIR1905H93.pdf

"Sentiment Analysis of Twitter Data Set: A Reviews", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp586-589, May-2019, Available at : http://www.jetir.org/papers/JETIR1905H93.pdf