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Unstructured data is any information that isn't specifically structured to be easy for machines to understand. Historically, virtually all computer code required information to be highly structured according to a predefined data model in order to be processed. For example, relational databases organize data into tables, rows and fields with constrained datatypes. Real world information isn't like this. As such, it is increasingly common for modern information technologies in areas such as artificial intelligence to process unstructured data. The following are examples.
WritingTextual analysis of written works such as books and blogs.Social MediaScanning streams of social media to detect real time information such as rumors about a stock.Natural LanguageSystems that accept voice commands or understand what people are saying for purposes such as analytics.Photographs & VideoAnalysis of video to understand events such as a video camera that monitors water levels flowing into a dam reservoir.
CommunicationsScanning communications such as emails to detect spam.ScienceLooking for patterns in interstellar radio messages in order to discover intelligent life.HealthAnalysis of x-ray images for signs of disease.SearchA search engine that spiders unstructured web pages in order to understand their content.
Unstructured Data
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