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Data extraction refers to the process of extracting or capturing data from various sources such as text documents, web pages, databases, or other types of data sets. It is an important step in data analysis and is often used to identify specific information or patterns from unstructured data.
Extraction of data can be done manually or automated. Manual extraction is often time-consuming and can be error-prone, especially with large data sets. Automated extraction methods, such as web scraping tools or machine learning techniques, can make data extraction easier and faster.
The extracted data can be used for a variety of purposes, such as creating databases, performing analytics, or processing in other applications and systems.