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sk Skill · beita6969

spacy-nlp

Natural language processing with spaCy. Use when: (1) named entity recognition, (2) POS tagging and dependency parsing, (3) text tokenization and linguistic analysis, (4) rule-based pattern matching, (5) custom NER pipelines. NOT for: LLM inference or text generation (use transformers), sentiment analysis at scale (use dedicated models), or machine translation.

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pythonbashTypeScript
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beita6969/ScienceClaw
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904
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TypeScript