nlp-roadmap

nlp-roadmap is Natural Language Processing ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning Natural Language Processing. The roadmap covers the materials from basic probability/statistics to SOTA NLP models.

Caution!

The relationship among keywords could be interpreted in ambiguous ways since they are represented in the format of a semantic mind-map. Please just focus on KEYWORD in square box, and deem them as the essential parts to learn.
The work of containing a plethora of keywords and knowledge within just an image has been challenging. Thus, please note that this roadmap is one of the suggestions or ideas.
You are eligible for using the material of your own free will including commercial purpose but highly expected to leave a reference.

Curriculum

Probability & Statistics

Machine Learning

Text Mining

Natural Language Processing

Contribution

Everyone can contribute to the repository. Contributions can range fixing typos to giving different perspectives on the materials. I welcome your contribution under the identical contribution guide of kamranahmedse/developer-roadmap.

Reference

[1] ratsgo's blog for textmining, ratsgo/ratsgo.github.io

[2] (한국어) 텍스트 마이닝을 위한 공부거리들, lovit/textmining-tutorial

[3] Christopher Bishop(2006). Pattern Recognition and Machine Learning

[4] Young, T., Hazarika, D., Poria, S., & Cambria, E. (2017). Recent Trends in Deep Learning Based Natural Language Processing. arXiv preprint arXiv:1708.02709.

[5] curated collection of papers for the nlp practitioner, mihail911/nlp-library

Acknowledgement to ratsgo, lovit for creating great posts and lectures.

LICENSE

The class is licensed under the MIT License:

Author

Tae Hwan Jung @graykode, Kyung Hee Univ CE(Undergraduate).
Author Email : nlkey2022@gmail.com

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