Course

Natural Language Processing in JavaScript with Natural

1
Break up language strings into parts using Natural
1m 25s
2
Find the roots of words using stemming in Natural
1m 33s
3
Pluralizing nouns and counting numbers with inflectors in Natural
1m 6s
4
Find sequences of words (n-grams) using Natural
2m 6s
5
Tag parts of speech using Natural
2m 16s
6
Compare similarity of strings through string distance in Natural
3m 32s
7
Classify text into categories with machine learning in Natural
3m 42s
8
Classify JSON text data with machine learning in Natural
6m 5s
9
Using machine learning classifiers in a new project
2m 3s
10
Identify the most important words in a document using tf-idf in Natural
5m 15s
11
Find a word’s definition using WordNet in Natural
2m 43s
12
Search more efficiently with tries using Natural
1m 40s
13
Include spell-check in text projects using Natural
3m 5s
14
Check if words sound alike using Natural
2m 14s

Find sequences of words (n-grams) using Natural

InstructorHannah Davis

Share this video with your friends

Send Tweet

Published 8 years ago

Updated 6 years ago

N-grams are sequences of words, where the 'n' stands for the number of words in the sequence. In this lesson, we will see how to find bigrams (2-grams), trigrams (3-grams), and any other length n-gram in a body of text.

View code on GitHub

Dov Friedman

~ 7 years ago

You mentioned you could use bigrams to find names within the sentence. What's the process for filtering everything else out that isn't a name? Thank you!

simpleAdam

~ 5 years ago

volume is all over the place

Markdown supported.

Become a member to join the discussionEnroll Today

Natural Language Processing in JavaScript with Natural

Find sequences of words (n-grams) using Natural

Social Share Links