International Journal of Science, Engineering and TechnologyAuthors: Assistant Professor Dr. Shivani Sharma, Assistant Professor Akhil Kumar, Nitin Yadav, Dilip Kumar
Abstract: In the last several years, the www has altered how individuals communicate with each other, share their thoughts and ideas on social media platforms, and give feedback on websites. Understanding the sentiments from people's ideas, feedback, and interactions is essential in the era of artificial intelligence. Recently, sentiment analysis has received a lot of attention. Sentiment analysis has been widely applied and utilized in a variety of industries, including business. With a focus on the function of Transformer models, this work offers a theoretical discussion of sentiment analysis. The paper will discuss the evolution from traditional approaches to deep learning techniques, delve into the architecture and advantages of Transformers, explore their applications across various domains, and address the challenges and limitations associated with their use.
