You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
ML-For-Beginners/6-NLP/README.md

22 lines
1.6 KiB

# Getting started with natural language processing
4 years ago
## Regional topic: European languages and literature and romantic hotels of Europe ❤️
In this section of the curriculum, you will be introduced to one of the most widespread uses of machine learning: natural language processing (NLP). Derived from computational linguistics, this category of artificial intelligence is the bridge between humans and machines via voice or textual communication.
4 years ago
In these lessons we'll learn the basics of NLP by building small conversational bots to learn how machine learning aids in making these conversations more and more 'smart'. You'll travel back in time, chatting with Elizabeth Bennett and Mr. Darcy from Jane Austen's classic novel, **Pride and Prejudice**, published in 1813. Then, you'll further your knowledge by learning about sentiment analysis via hotel reviews in Europe.
4 years ago
4 years ago
![Pride and Prejudice book and tea](images/p&p.jpg)
> Photo by <a href="https://unsplash.com/@elaineh?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Elaine Howlin</a> on <a href="https://unsplash.com/s/photos/pride-and-prejudice?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a>
## Lessons
4 years ago
3 years ago
1. [Introduction to natural language processing](1-Introduction-to-NLP/README.md)
2. [Common NLP tasks and techniques](2-Tasks/README.md)
3. [Translation and sentiment analysis with machine learning](3-Translation-Sentiment/README.md)
4 years ago
4. TBD
4 years ago
4 years ago
## Credits
4 years ago
These natural language processing lessons were written with ☕ by [Stephen Howell](https://twitter.com/Howell_MSFT)