Information Extraction
Information Extraction refers to the process of automatically extracting structured information from unstructured sources, such as text documents or web pages. This involves identifying and extracting specific pieces of information, such as names, dates, locations, or other entities, and organizing them in a way that is easily searchable and analyzable. Techniques used in information extraction include natural language processing, machine learning, and text mining. This process is essential for tasks such as data mining, text summarization, and sentiment analysis.
External Links
- [InformationExtraction.org] AI and Intelligent Systems / Deep Data Lab