Sentiment Analysis focuses on identifying, extracting, and classifying emotions, opinions, and attitudes expressed in textual data. It enables organizations to understand customer feedback, social media discussions, reviews, and survey responses for data-driven decision-making. This training explains how opinion mining works using rule-based, machine learning, and deep learning approaches. It also covers text preprocessing, feature extraction, polarity classification, emotion detection, and model evaluation techniques. You will learn how businesses use these methods for brand monitoring, customer experience improvement, market research, and social media analytics. The course also highlights best practices for building scalable, accurate, and real-time text analytics systems.
