Semantic Analysis is a process in natural language processing that focuses on understanding the meaning of words and phrases in context. It involves examining the relationships between words, their meanings, and how they combine to convey ideas. This analysis helps computers interpret human language more accurately, enabling better communication between humans and machines. By using techniques such as machine learning and linguistic rules, semantic analysis can identify synonyms, antonyms, and the overall sentiment of a text. This capability is essential for applications like chatbots, search engines, and text summarization, where understanding context and meaning is crucial for effective interaction.