July 2017
Beginner to intermediate
486 pages
13h 49m
English
Content preview from Python Natural Language Processing
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Difference between stemming and lemmatization
Stemming and lemmatization both of these concepts are used to normalized the given word by removing infixes and consider its meaning. The major difference between these is as shown:
|
Stemming |
Lemmatization |
|
Stemming usually operates on single word without knowledge of the context |
Lemmatization usually considers words and the context of the word in the sentence |
|
In stemming, we do not consider POS tags |
In lemmatization, we consider POS tags |
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Stemming is used to group words with a similar basic meaning together |
Lemmatization concept is used to make dictionary or WordNet kind of dictionary. |
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