July 2017
Beginner to intermediate
486 pages
13h 49m
English
Content preview from Python Natural Language Processing
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Lemmatization of raw text
Lemmatization is the process that identifies the correct intended part-of-speech (POS) and the meaning of words that are present in sentences.
In lemmatization, we remove the inflection endings and convert the word into its base form, present in a dictionary or in the vocabulary. If we use vocabulary and morphological analysis of all the words present in the raw text properly, then we can get high accuracy for lemmatization.
Lemmatization transforms words present in the raw text to its lemma by using a tagged dictionary such as WordNet.
Lemmatization is closely related to stemming.
In lemmatization, we consider POS tags, and in stemming we do not consider POS tags and the context of words.
Let's take some examples ...
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