Modern NLP with spaCy
Practical AI
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Mastering NLP with spaCy
This chapter explores the complexities of building a natural language processing pipeline using the spaCy library, focusing on pre-trained models, transfer learning, and hybrid workflows. The discussion encompasses various NLP tasks such as named entity recognition and text classification, while addressing the challenges faced in supporting low-resource languages. Additionally, listeners are provided with resources to enhance their understanding and hands-on experience with NLP and spaCy.
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