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Text analysis involves the examination and evaluation of written or spoken language to uncover patterns, trends, and insights. It often includes techniques such as natural language processing, sentiment analysis, and topic modeling to extract meaning from large volumes of text data. Text analysis can be used to summarize content, detect sentiment, classify documents, and extract key information for various purposes such as market research, customer feedback analysis, and fraud detection.