Semantic analysis is a subfield of natural language processing (NLP) that focuses on understanding the meaning of words, phrases, and sentences in context. It goes beyond mere syntactic parsing to grasp the underlying concepts and relationships within text. Semantic analysis aims to derive meaningful insights from unstructured data by addressing ambiguities and nuances in language. Techniques such as word embeddings, named entity recognition, and sentiment analysis are employed to analyze text data semantically. Applications of semantic analysis include chatbots, search engines, recommendation systems, and content analysis, helping to improve human-computer interaction and information retrieval.