9.2 Project 2: Sentiment Analysis Using Transformer-based Models
Sentiment analysis is a fundamental and highly significant task within the field of Natural Language Processing (NLP), focusing on the intricate process of deciphering and interpreting the underlying emotional tone or attitude expressed in a given piece of text.
This project delves into the application of cutting-edge transformer-based models, with a particular emphasis on BERT (Bidirectional Encoder Representations from Transformers), to conduct sophisticated sentiment analysis on textual data.
By leveraging these advanced neural network architectures, we aim to develop a robust system capable of accurately discerning and categorizing the sentiments conveyed in various forms of written ...