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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
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])