NLTK Python 3 - STEMMING EXPLAINED

Published: 25 December 2020
on channel: CoOoDE

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Another form of data pre-processing with NLTK in Natural Language processing is called "STEMMING."

This is the process where we remove word affixes from the end of words. This way, we store one single value for the root stem of "read." Then, when we wish to learn more, we can look into the affixes that was on the end.

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