Natural Language Processing - Overview - Part Of Speech Tagging Tutorial

Part-of-speech (POS) tagging is a popular Natural Language Processing process which refers to categorizing words in a text (corpus) in correspondence with a particular part of speech, depending on the definition of the word and its context.

Application Of POS tagging

1] Named Entity Recognition

2] Question Answering System

3] Word Sense Disambiguation

4] Chatbots

Hidden Markov Model

Need to find Emission probabilty & transition probabilty

Emission probabilty – probability of each word to be noun, model and verb.

transition probabilty – probabilty of each column field after row field(definition as per the diagram)

Hidden Markov Model –

If we try every combination, then it is difficult to calculate-

To avoid this , we can use Viterbi Algo-