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Part of Speech Tagging (POS Tagging) is a Natural Language Processing (NLP) task that involves assigning a part of speech to each word in a sentence. This is done by analyzing the context of the sentence and the word itself. POS Tagging is used in a variety of applications, such as text classification, sentiment analysis, and machine translation. It is also used to improve the accuracy of other NLP tasks, such as Named Entity Recognition. There are a number of companies in the POS Tagging market, including Google, Microsoft, IBM, and Amazon. These companies offer a range of services, from cloud-based APIs to on-premise solutions. Additionally, there are a number of open source libraries available, such as NLTK and spaCy, which provide POS Tagging capabilities. Show Less Read more