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Part-of-Speech Tagging

Explore how to perform part-of-speech tagging to assign grammatical categories to words in text data. Understand its role in syntactic analysis and how it prepares data for applications like text classification, sentiment analysis, and information retrieval. Gain hands-on experience using Python libraries to implement POS tagging effectively.

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Introduction

Labeling words in a sentence with their appropriate grammatical categories, such as nouns, verbs, adjectives, or adverbs, is known as part-of-speech (POS) tagging. This technique enables us to understand a sentence’s syntactic structure and determine a word’s meaning about other words. For instance, in the sentence “The cat sat on the mat,” the words “cat” and “mat” would be tagged as nouns, “sat” as a verb, “the” as a determiner, and “on” as a preposition. By assigning each word to a grammatical category, we ensure that we prepare our data for later analysis, such as text classification, sentiment analysis, and information retrieval. Here ...