Comprehensive Study on ChatGPT Sentiment Analysis and Visualization
Himanshu R. Katrojwar, Siddhesh D. Atkar, Shreepad R. Raut, Harsh N. Bhoge, Rahul Agrawal, Chetan Dhule · 2023
The rapid growth of artificial intelligence (AI) is poised to reshape industries and societal aspects, driven by its ability to simulate human intelligence and perform tasks requiring humanlike thinking and learning. ChatGpt has been leading this growth since its inception, enhancing user experience and garnering over 100 million users by February 2023. Social Networking sites have been a source for sharing the sentiments. This research explores tweets on ChatGpt in the field of sentiment analysis and its integration with data visualization techniques to enhance the comprehension of textual data. The research proposed a holistic approach by exploring the methodologies such as data collection, data preprocessing, tokenization, sentiment analysis using Natural Language Processing, accuracy assessment and visualization. For training and testing a dataset has been gathered from Kaggle which daily gets updated. The proposed study gives comprehensive results about sentiments on ChatGPT and explores different visualization techniques.