shivam5992/spacy_nlp
:clipboard: introduction about implementation and usage of spacy - fast industrial strength natural language processing library
This project helps data analysts and researchers quickly understand text by performing common natural language processing tasks. You can input raw text, and it will output structured information like identified names, organizations, dates, and sentiment. It's designed for anyone who needs to extract insights and meaning from large volumes of text data without deep linguistic expertise.
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Use this if you need to efficiently process and extract structured information from text for tasks like information extraction, text classification, or sentiment analysis.
Not ideal if you need a no-code solution or advanced, highly specialized custom linguistic models for very niche domains.
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Jupyter Notebook
License
MIT
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Last pushed
Apr 04, 2017
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