What is the difference between porter and snowball stemmer in nltk

This recipe explains what is the difference between porter and snowball stemmer in nltk

Recipe Objective

This recipe explains the difference between SnowballStemmer and PorterStemmer.

Step 1: Importing library

Let us first import the necessary libraries. We'll import nltk, PorterStemmer and SnowballStemmer from nltk.stem.

import nltk
from nltk.stem import PorterStemmer
from nltk.stem.snowball import SnowballStemmer

Step 2: Porter Stemmer

Porter stemmer is an old and very gentle stemming algorithm. It is generally used to normalize the process which is generally done by setting up Information Retrieval systems. The Porter stemming algorithm (or Porter Stemmer) is a process that is used to eliminate morphological and inflexional endings from words in English.

porter = PorterStemmer()
for w in words:
   print(w, " : ", porter.stem(w))

Step 3: Snowball Stemmer

Snowball Stemmer is also known as the Porter2 stemming algorithm because it is a better version of the Porter Stemmer. It is more aggressive than Porter Stemmer.

snow = SnowballStemmer(language='english')
for w in words:
    print(w, " : ", snow.stem(w))

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