Topic modeling is an unsupervised machine learning technique that uncovers hidden themes within large text collections. By analyzing word patterns, it automatically clusters documents into distinct topics, making unstructured data searchable and insightful. Businesses use it for customer feedback analysis, researchers for literature reviews, and marketers for content strategy, enabling faster decision-making and deeper understanding of massive datasets.
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