![]() POS tagging is the process of marking up a word in a corpus to a corresponding part of a speech tag, based on its context and definition. POS Tagging is also essential for building lemmatizers which are used to reduce a word to its root form. ![]() Part of Speech (hereby referred to as POS) Tags are useful for building parse trees, which are used in building NERs (most named entities are Nouns) and extracting relations between words. ![]() So this leaves us with a question - how do we improve on this Bag of Words technique? Such a model will not be able to capture the difference between “I like you”, where “like” is a verb with a positive sentiment, and “I am like you”, where “like” is a preposition with a neutral sentiment. ![]() But such models fail to capture the syntactic relations between words.įor example, suppose we build a sentiment analyser based on only Bag of Words. In the world of Natural Language Processing (NLP), the most basic models are based on Bag of Words.
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