NER with spaCy in Python | @brave_santhosh

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Uncover the power of Named Entity Recognition (NER) with spaCy in Python through this enlightening tutorial. NER is a crucial natural language processing task used to identify and categorize named entities within text, such as people, organizations, and locations. In this video, we'll explore the principles behind NER and dive into practical implementation using spaCy, a leading NLP library in Python. Through hands-on examples and code demonstrations, you'll learn how to preprocess text data, apply spaCy's pre-trained NER model, and extract valuable information from unstructured text. From understanding entity types to customizing NER pipelines, this tutorial provides a comprehensive guide to harnessing the power of spaCy for NER tasks. Don't forget to subscribe and share to stay updated on more exciting tutorials!

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