iris2hu/nlp-tasks-examples-icip

This is a code example repo for the NLP course offered by the Institute of Chinese Information Processing of BNU.

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This project provides practical code examples for various Natural Language Processing tasks. It shows how to input text data, like movie or book reviews, to classify their sentiment or fine-tune large language models. This is designed for students and practitioners learning and applying NLP techniques, particularly in areas like digital humanities or information processing.

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Use this if you are a student or researcher in NLP looking for hands-on examples to understand sentiment analysis, large language model fine-tuning, or other text classification problems.

Not ideal if you are looking for a ready-to-use application or a comprehensive NLP library for production use cases.

natural-language-processing sentiment-analysis text-classification language-model-finetuning digital-humanities
No License Stale 6m No Package No Dependents
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Maturity 8 / 25
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May 02, 2025

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