blanchefort/text_mining
Набор ноутбуков, в которых решаются различные задачи обработки естественного языка (NLP).
This project provides pre-built solutions for common natural language processing tasks. It takes raw text as input and can categorize comments as toxic or non-toxic, determine if text has a positive or negative sentiment, identify parts of speech in sentences, or classify products based on their names. It is intended for data scientists or NLP engineers looking for practical examples to adapt for their own text analysis needs.
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Use this if you need to quickly implement or understand how to perform tasks like sentiment analysis, toxic comment detection, part-of-speech tagging, or text classification using modern NLP models.
Not ideal if you are a business user without programming experience looking for a ready-to-use application, as this project consists of technical notebooks requiring coding knowledge.
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Language
Jupyter Notebook
License
MIT
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Last pushed
May 23, 2020
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