Named entity recognition (NER) is a natural language processing task used to identify important named entities in text such as people, places, organizations, date, or any other category. It can be used alone or alongside topic identification and adds a lot of semantic knowledge to the content, enabling us to understand the subject of any given text.

Named entity recognition is an import area in research and text mining. Some use cases are to identify places or people mentioned in a tweet, extract key parts from customer feedback, and compliment or assist in sentiment analysis. In this guide, you will learn how to perform named entity recognition in Azure Machine Learning Studio.

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