In this course we’ll work through Natural’s API for natural language processing in JavaScript. We’ll look at how to process text: learning how to break up language strings, find the word roots, work with inflectors, find sequences of words, and tag parts of speech. We’ll learn how to find important stats about a body of text: how to compare strings, how to classify text with machine learning, how to use the tf-idf tool to find relevant words. We’ll look at some of the extra tools Natural gives us, including the dictionary/thesaurus of WordNet, a phonetics comparer that lets us see if two words sound the same, and a spellcheck feature. We’ll also look at tries and digraphs, two data structures that help us better analyze bodies of text.
Overview
Syllabus
- Break up language strings into parts using Natural
- Find the roots of words using stemming in Natural
- Pluralizing nouns and counting numbers with inflectors in Natural
- Find sequences of words (n-grams) using Natural
- Tag parts of speech using Natural
- Compare similarity of strings through string distance in Natural
- Classify text into categories with machine learning in Natural
- Classify JSON text data with machine learning in Natural
- Using machine learning classifiers in a new project
- Identify the most important words in a document using tf-idf in Natural
- Find a word’s definition using WordNet in Natural
- Search more efficiently with tries using Natural
- Include spell-check in text projects using Natural
- Check if words sound alike using Natural
Taught by
Hannah Davis
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