hankcs/CS224n
CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
This project provides assignments and practical examples for understanding core concepts in Natural Language Processing (NLP) using deep learning. It takes raw text or structured language data and demonstrates how to process it to extract meaning, categorize sentiment, or parse grammatical structure. This is designed for individuals learning or teaching advanced NLP techniques, such as university students, researchers, or data scientists transitioning into language-focused AI.
683 stars. No commits in the last 6 months.
Use this if you are studying or teaching deep learning for Natural Language Processing and need practical assignments to apply concepts like word embeddings, sentiment analysis, dependency parsing, or named entity recognition.
Not ideal if you are looking for a plug-and-play tool or library for immediate use in a production NLP application, as this focuses on educational assignments.
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Python
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GPL-3.0
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Oct 15, 2018
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