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Natural Language Processing with Python Quick Start Guide

You're reading from   Natural Language Processing with Python Quick Start Guide Going from a Python developer to an effective Natural Language Processing Engineer

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789130386
Length 182 pages
Edition 1st Edition
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Author (1):
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Nirant Kasliwal Nirant Kasliwal
Author Profile Icon Nirant Kasliwal
Nirant Kasliwal
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Toc

Stemming and lemmatization

Stemming and lemmatization are very two very popular ideas that are used to reduce the vocabulary size of your corpus.

Stemming usually refers to a crude heuristic process that chops off the ends of words in the hope of achieving this goal correctly most of the time, and often includes the removal of derivational affixes.

Lemmatization usually refers to doing things properly with the use of a vocabulary and morphological analysis of words, normally aiming to remove inflectional endings only and to return the base or dictionary form of a word, which is known as the lemma.

If confronted with the token saw, stemming might return just s, whereas lemmatization would attempt to return either see or saw, depending on whether the use of the token was as a verb or a noun.
- Dr. Christopher Manning et al, 2008, [IR-Book]
(Chris Manning is a Professor in machine...
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