From the course: Natural Language Processing in Python

Unlock this course with a free trial

Join today to access over 26,400 courses taught by industry experts.

Assignment: Text preprocessing with spaCy

Assignment: Text preprocessing with spaCy - Python Tutorial

From the course: Natural Language Processing in Python

Start my 1-month free trial Buy for my team

Assignment: Text preprocessing with spaCy

“

For your next assignment, you have another message from Lexicon. She says, hi again, thanks for the first round of text preprocessing you did earlier with pandas. Could you do a second round of normalization and cleaning on the description column with spaCy to tokenize, lemmatize, and remove stop words from the text? Thank you, Lexi. Your key objectives for this assignment are to do some additional preprocessing techniques. So in addition to the lower casing and special character removal from the previous assignment, you're going to use the clean description column from that assignment as a starting point. And then from there, you're going to use spaCy to tokenize the text, lemmatize the text, and remove stop words.

Contents