Semantic Analysis focuses on understanding the meaning, context, and relationships within textual data to extract insights beyond simple keyword matching. It enables systems to interpret human language more accurately for applications like search, chatbots, and text analytics. This training explains core concepts such as word embeddings, sentiment analysis, entity recognition, and contextual interpretation of text. It also covers techniques like semantic similarity, dependency parsing, and natural language understanding models. You will learn how semantic analysis is used to improve information retrieval, recommendation systems, and conversational AI. The course also highlights best practices for building accurate, context-aware, and scalable NLP solutions.
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