ruthussanketh/natural-language-processing
Codes, datasets, and explanations for some basic natural language tasks and models.
This collection of tutorials helps you understand and apply fundamental Natural Language Processing (NLP) techniques to text data. You'll learn how to prepare text, build language models, and create text classifiers to analyze and make sense of written information. It's designed for anyone new to NLP, like students, researchers, or data analysts, who wants to get hands-on experience without needing deep mathematical knowledge.
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Use this if you want to learn the basics of Natural Language Processing and apply common text analysis methods using practical examples and clear explanations.
Not ideal if you are an experienced NLP practitioner looking for advanced research, bleeding-edge models, or highly optimized production-ready code.
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CC0-1.0
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Last pushed
Dec 09, 2020
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