awesome-nlp and text_mining_resources
These are ecosystem siblings—both are curated resource collections that serve the same discovery function within the NLP domain, with overlapping scope but independent curation and different organizational approaches.
About awesome-nlp
keon/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Organizes implementation-focused resources across 12+ programming languages (Python, Java, C++, Rust, etc.) alongside annotation tools and datasets, making it language-agnostic for practitioners building NLP systems. Beyond tutorials and research papers, it segments resources by target language (Korean, Arabic, Chinese, etc.), enabling developers to find tools and techniques specific to non-English NLP tasks. Covers the full pipeline from foundational theory and state-of-the-art research summaries to practical libraries, cloud services, and labeled datasets needed for production deployment.
About text_mining_resources
stepthom/text_mining_resources
Resources for learning about Text Mining and Natural Language Processing
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