Text Processing Made Easy with spaCy
SMRTR summary
spaCy leverages statistical models to process language, enabling developers to analyze text through part-of-speech tagging, named entity recognition, and dependency parsing. The powerful NLP library can identify grammatical roles of words, recognize real-world objects in text, and measure semantic similarities, making it valuable across industries from search engines to healthcare for tasks like keyword extraction, summarization, and content classification.
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