ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
Natural Language Processing Roadmap and Keyword for students who are wondering what to study
I created summarized Natural Language Processing Roadmap in Github Repository with preparing NLP Engineer Interview to not forgetting which i had learned things. :D :D
It's contain in order Probability and Statistics, Machine Learning, Text Mining, Natural Language Processing.
It was very hard to make tree, sub-tree sctucture of mind map with abstract keywords, so Please focus on KEYWORD in square box, as things to study.
Also You can use the material commercially or freely, but please leave the source.
If you like the project, please ask star, fork and Contribution! :D Thanks!!
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.
Opens for everybody to contribute to the repository, including typo or different perspectives on the materials. I welcome your contribution under the identical contribution guide of kamranahmedse/developer-roadmap.
 ratsgo's blog for textmining, ratsgo/ratsgo.github.io
 (한국어) 텍스트 마이닝을 위한 공부거리들, lovit/textmining-tutorial
 Christopher Bishop(2006). Pattern Recognition and Machine Learning
 Young, T., Hazarika, D., Poria, S., & Cambria, E. (2017). Recent Trends in Deep Learning Based Natural Language Processing. arXiv preprint arXiv:1708.02709.
 curated collection of papers for the nlp practitioner, mihail911/nlp-library
Acknowledgement to ratsgo, lovit for creating great posts and lectures.
The class is licensed under the MIT License:
Copyright © 2019 Tae-Hwan Jung.
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