Knowledge extraction is a process in artificial intelligence that involves extracting useful knowledge from raw data. This is achieved through various methods such as machine learning, natural language processing, and data mining. The extracted knowledge can be used to make predictions, generate recommendations, and enable AI applications to learn autonomously.

• Healthcare
• Finance
• Customer Relationship Management
• Information Retrieval Systems
• Social Media Analytics
• E-commerce
• Human Resource Management
• Internet of Things

For instance, a knowledge extraction system could be trained on a large corpus of text documents to identify patterns and relationships between words and phrases, allowing it to generate summaries or translate languages.

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