LIANGQINGYUAN/NLP-Notebook
NLP学习笔记的Notebook，包含经典模型的理解与相关实践。
This collection of notes and practical examples helps you understand and apply various natural language processing (NLP) models. It demonstrates how to take text data, like sentences or social media posts, and transform it for tasks such as translation, sentiment analysis, or spam detection. This resource is designed for anyone learning about or working with NLP, from students to data scientists.
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Use this if you are studying NLP and want to see how foundational models like Transformer and BERT are implemented for common tasks like machine translation or sentiment classification.
Not ideal if you are looking for a plug-and-play solution for a specific NLP task without needing to understand the underlying model implementations.
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Apr 06, 2020
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