Unstructured data refers to information that does not have a predefined data model or is not organized in a pre-determined manner. It's typically text-heavy and can contain a variety of data types, including text, images, audio, and video. Common use cases include analyzing customer feedback (like reviews and surveys), understanding social media trends, processing emails, and extracting insights from documents. Effectively managing and analyzing unstructured data requires specialized tools and techniques such as natural language processing (NLP), machine learning, and data mining.
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