NLP Stemming and Lemmatizing with program examples

NLP Stemming and Lemmatizing

Stemming and lemmatizing will give the root word of the word. But Stemming doesn’t look for the meaning of the root word. It’s Directly stem and gives output. In Lemmatizing,  It will give root word by checking dictionary whether the word is present or not.

Stemming Example:

from nltk.stem import PorterStemmer

ps =PorterStemmer()

text = "grouping"

print(ps.stem(text))

Output:

group

Example 2:

from nltk.stem import PorterStemmer

ps =PorterStemmer()

text = "playting"

print(ps.stem(text))

Output:

playt

Lemmatizing example:  

We can specify part of speech in legitimatizing as a verb, adjective.

Program Example Code:

from nltk.stem import WordNetLemmatizer

lemmatizer = WordNetLemmatizer()

print(lemmatizer.lemmatize("performances"))

print(lemmatizer.lemmatize("pepsi"))

print(lemmatizer.lemmatize("english"))

print(lemmatizer.lemmatize("rocks"))

print(lemmatizer.lemmatize("went",pos='v'))

Output:

performance

pepsi

english

rock

go