Abstract
Abstract: Sentiment analysis, also known as opinion mining, analyses people's opinions, sentiments, attitudes, and emotions from written language. With the rapid growth of social media and other real-time communication platforms, the demand for real-time sentiment analysis has surged. This paper explores the application of OpenAI's ChatGPT, a state-of-the-art language model, in conducting near real-time sentiment analysis. The study investigates the model's capabilities, performance, and potential limitations, proposing a framework for integrating ChatGPT into real-time sentiment analysis systems.
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