Converting text to its base form using lemmatization

The goal of lemmatization is also to reduce words to their base forms, but this is a more structured approach. In the previous recipe, you saw that the base words that we obtained using stemmers don't really make sense. For example, the word wolves was reduced to wolv, which is not a real word. Lemmatization solves this problem by doing things with a vocabulary and morphological analysis of words. It removes inflectional word endings, such as -ing or -ed, and returns the base form of a word. This base form is known as the lemma. If you lemmatize the word wolves, you will get wolf as the output. The output depends on whether the token is a verb or a noun.

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