ChatGPT Tweets Sentiment Analysis Using Machine Learning

Nowadays, ChatGPT attracts the attention of people due to its ability to perform various tasks impressively. Recently, ChatGPT has become a very popular tool, and many people are keen to know about its performance as well as responses or opinions about ChatGPT from its users. This paper can determine whether or not people like the ChatGPT tool by learning their opinions about it. In this paper, a dataset has been used that contains 50,000 tweets related to ChatGPT. The main goal is to build, train, test, and deploy a model to predict sentiment from thousands of tweets. In this in-depth sentiment analysis of ChatGPT responses, the polarity of each tweet has been found and labelled either positive or negative. In this, the analysis of the distribution of sentiment in the ChatGPT Kaggle dataset as well as how to prepare the Twitter data to prepare it for sentiment analysis have been studied. After that, the accuracy of different machine learning models has been found out. Find out which one has the highest accuracy as compared to others.