Named Entity Recognition

Learn how to perform named entity recognition using Python.

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Named entity recognition (NER) is a text preprocessing technique that identifies and categorizes named entities in text, such as people, organizations, locations, dates, and other entities. By identifying and categorizing named entities in text, we can answer questions such as “who,” “what,” “when,” “where,” and “how” more accurately. Here are a few examples of common NER tags:

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