Natural Language Processing
Build code that powers tools from virtual assistants to autocorrect.
Why learn NLP?
From your virtual assistant recommending a restaurant to that terrible autocorrect you sent your parents, natural language processing (NLP) is a rapidly growing presence in our lives. NLP is all about how computers work with human language. Don’t just use NLP tools — make them!
Take-Away Skills:
For now, this course provides an overview of main NLP concepts, and you will build a Python chatbot! But check back later, we will be adding more advanced content soon that will get you to the outcomes that you want!
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What you'll learn
- 1Delve into the exciting world of Natural Language Processing (NLP) with this overview of major topics in the field.
- 2Get taste of regular expressions (regex), a powerful search pattern language to quickly find the text you’re looking for.
- 3Before most natural language processing tasks, it’s necessary to clean up the text data using text preprocessing techniques.
- 4Apply regular expressions (regex) and other natural language parsing tactics to find meaning and insights in the texts you read every day.
- 5Whet your language model appetite with the widely used Bag-of-Words. Develop the underlying functionality in Python, then use scikit-learn.
What you'll create
Portfolio projects that showcase your new skills
Discover Insights into Classic Texts
In this project you will perform a natural language parsing analysis with regular expressions to gain insights into Oscar Wilde's _The Picture of Dorian Gray_ or Homer's _The Iliad!_
Mystery Friend
Use scikit-learn's bag-of-words functions and Naive Bayes classifier to figure out which of your friends sent you an anonymous postcard!
How you'll master it
Stress-test your knowledge with quizzes that help commit syntax to memory
— Madelyn, Pinterest“I know from first-hand experience that you can go in knowing zero, nothing, and just get a grasp on everything as you go and start building right away.”