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https://github.com/graykode/nlp-roadmap
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
https://github.com/graykode/nlp-roadmap
keyword machine-learning natural-language-processing nlp probability-statistics roadmap textmining
Last synced: 25 days ago
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ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
- Host: GitHub
- URL: https://github.com/graykode/nlp-roadmap
- Owner: graykode
- License: mit
- Created: 2019-09-19T07:47:34.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2019-09-29T07:07:52.000Z (about 5 years ago)
- Last Synced: 2024-10-01T15:01:33.693Z (about 1 month ago)
- Topics: keyword, machine-learning, natural-language-processing, nlp, probability-statistics, roadmap, textmining
- Homepage: https://www.reddit.com/r/MachineLearning/comments/d8jheo/p_natural_language_processing_roadmap_and_keyword/
- Size: 2.61 MB
- Stars: 3,218
- Watchers: 110
- Forks: 513
- Open Issues: 2
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-roadmaps - NLP Roadmap - Roadmap for Natural Language Processing learning in 2019 [<img src="https://img.shields.io/badge/Roadmap-2019-yellowgreen.svg">](https://github.com/graykode/nlp-roadmap). (AI / Machine Learning / Data Science)
- awesome_roadmaps - NLP roadmap
README
## nlp-roadmap
![](img/title.png)`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
1. [Probability and Statistics](https://github.com/graykode/nlp-roadmap#probability--statistics)
2. [Machine Learning](https://github.com/graykode/nlp-roadmap#machine-learning)
3. [Text Mining](https://github.com/graykode/nlp-roadmap#text-mining)
4. [Natural Language Processing](https://github.com/graykode/nlp-roadmap#natural-language-processing)
## Probability & Statistics
![](img/prob.png)## Machine Learning
![](img/ml.png)## Text Mining
![](img/textmining.png)## Natural Language Processing
![](img/nlp.png)## 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](https://github.com/kamranahmedse/developer-roadmap/blob/master/contributing.md).## Reference
[1] [ratsgo's blog for textmining](https://ratsgo.github.io/), [ratsgo](https://github.com/ratsgo)/[ratsgo.github.io](https://github.com/ratsgo/ratsgo.github.io)
[2] (한국어) 텍스트 마이닝을 위한 공부거리들, [lovit](https://github.com/lovit)/[textmining-tutorial](https://github.com/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](https://github.com/mihail911)/[nlp-library](https://github.com/mihail911/nlp-library)
**Acknowledgement** to [ratsgo](https://github.com/ratsgo), [lovit](https://github.com/lovit) for creating great posts and lectures.
## LICENSE
The class is licensed under the [MIT License](http://opensource.org/licenses/MIT):
Copyright © 2019 [Tae-Hwan Jung](http://www.github.com/graykode).
## Author
- Tae Hwan Jung [@graykode](https://github.com/graykode), Kyung Hee Univ CE(Undergraduate).
- Author Email : [[email protected]](mailto:[email protected])