Stemmers vs. Lemmatizers
Stackoverflow is full of questions about why stemmers and lemmatizers don’t work as expected. The root cause of the confusion is that their role is often misunderstood. Here’s a comparison:
lemmatizing
Wordnet, getting your hands dirty
Wordnet is a lexical database created at Princeton University. Its size and several properties it holds make Wordnet one of the most useful tools you can have in your NLP arsenal. Here are a few properties that make Wordnet so useful:
Building a simple inverted index using NLTK
In this example I want to show how to use some of the tools packed in NLTK to build something pretty awesome. Inverted indexes are a very powerful tool and is one of the building blocks of modern day search engines. While building the inverted index, you’ll learn to: 1. Use a stemmer from NLTK […]
