lyeoni/nlp-tutorial
A list of NLP(Natural Language Processing) tutorials
This project helps you understand how to build systems that analyze and process human language, specifically covering tasks like categorizing news articles, determining the sentiment of movie reviews, matching questions with answers, and translating text between languages. It takes raw text data as input and produces categorized labels, sentiment scores, matching questions/answers, or translated text as output. This resource is for anyone interested in learning about or implementing natural language processing (NLP) applications.
1,375 stars. No commits in the last 6 months.
Use this if you want to learn how to implement common natural language processing tasks step-by-step using practical examples.
Not ideal if you are looking for a ready-to-use, deployable NLP tool rather than learning how to build one yourself.
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Jupyter Notebook
License
MIT
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Last pushed
Apr 01, 2020
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