'Best stemming algorithm in NLTK, Python

I am trying to stem the word tokens I get after tokenizing the data using PorterStemmer but am getting incorrect results. Which stemming algorithm would be the best one to go with?

Code-

from nltk.stem import PorterStemmer

porter = PorterStemmer()
porter.stem("mobile")

Code Output-

mobil

Expected Output-

mobile

python nlp nltk

Solution 1:^[1]

You might be looking for lemmatization and not stemming. Check out https://www.guru99.com/stemming-lemmatization-python-nltk.html.

Stemming means the reduction to the root/base of the word. Lemmatization means the reduction to the non-flectional base form (e.g. infinitive for verbs).

The root of "mobile" is "mobil" because of words like "mobility". The unchanged root/base does in this case not include the e.

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'Best stemming algorithm in NLTK, Python

Solution 1:[1]

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Solution 1:^[1]