lyeoni/nlp-tutorial resource

Health v2 · maintenance only

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1375 stars · 262 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of Jupyter Notebook tutorials on natural language processing built with PyTorch (and one Keras example). It covers text classification, sentiment analysis, question-answer matching, and neural machine translation with step-by-step annotated implementations.

Use cases

• learn nlp with pytorch
• text classification tutorial
• sentiment analysis example code
• neural machine translation seq2seq tutorial
• transformer text classification walkthrough
• korean nlp text classification example

When to choose

• you want annotated, runnable notebooks for common NLP tasks
• you are learning PyTorch through NLP examples
• you need reference implementations of CBoW, LSTM, TextCNN, or seq2seq models

When to avoid

• you need a production-ready NLP library
• you require up-to-date code, as the project has not been updated since 2020
• you want tutorials on modern large language models

Facets

learning-resource · maturity maintenance

nlp machine-learning machine-learning tutorials python pytorch jupyter-notebook text-classification sentiment-analysis neural-machine-translation seq2seq transformer natural-language-processing

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markdown · JSON · MCP: product_card(name="lyeoni/nlp-tutorial")