N-grams Explained Line by Line | Natural Language Processing — Foundations #08

In this episode we break down N-grams in NLP, line by line. You will learn what N-grams are, how they bring back word order into text representations, and how to use them with scikit-learn. What you will learn: What N-grams are and why they matter Unigrams, bigrams and trigrams Generating N-grams manually in Python Using N-grams with CountVectorizer and TfidfVectorizer Choosing the right N-gram range Limitations of N-grams Next up: Naive Bayes for Text Classification