Sentiment Analysis Survey Using Deep Learning Techniques

This study focuses on deep learning methodologies as it examines the spectrum of sentiment analysis techniques. Identifying the emotional tone or attitude reflected in textual information is called sentiment examination, an important component of natural language processing. A subset of machine learning called deep learning has completely changed the discipline by making it possible to build sophisticated models that can accurately capture complicated linguistic patterns. This study provides a thorough analysis of deep learning methods applied to opinion analysis. In this research, we examine and classify a variety of deep learning methods for sentiment analysis. We also examine current issues and potential developments in sentiment analysis. We also covered assessment metrics, which are frequently used for developing and accessing sentiment analysis models.