Stemmer python

1. What is a Stemmer in Python?
2. What is the use of Stemmer?
3. What does NLTK Stemmer do?
4. Which Stemmer is best for Python?

What is a Stemmer in Python?

Stemming is the process of producing morphological variants of a root/base word. Stemming programs are commonly referred to as stemming algorithms or stemmers.

What is the use of Stemmer?

A stemmer is an algorithm that operates on the principle of recognizing “stem” words embedded in other words. These are helpful for lexical purposes, for example, in online dictionaries, for heuristics in file management, or anywhere else that semantic tools can help create order.

What does NLTK Stemmer do?

Stemmers remove morphological affixes from words, leaving only the word stem.

Which Stemmer is best for Python?

Compared to the stemming technique, lemmatization in Python is a bit slow but it helps in training a machine learning model efficiently. If you are using a huge dataset, the Snowball stemmer (Porter2 stemmer approach) is the best option.