July 2018
Beginner to intermediate
312 pages
8h 31m
English
Content preview from Hands-On Natural Language Processing with Python
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What is POS tagging?
POS refers to categorizing the words in a sentence into specific syntactic or grammatical functions. In English, the main parts of speech are nouns, pronouns, adjectives, verbs, adverbs, prepositions, determiners, and conjunctions. POS tagging is the task of attaching one of these categories to each of the words or tokens in a text. NLTK provides both a set of tagged text corpus and a set of POS trainers for creating custom taggers. The most common tagged datasets in NLTK are the Penn Treebank and Brown Corpus. The Penn Treebank consists of a parsed collection of texts from journal articles, telephone conversations, and so on. Similarly, the Brown Corpus consists of text from 15 different categories of articles (science, ...
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