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We have covered some of the basics in part 1 of this series

Check that out : Basics of NLP - 1 [Week 5]

Let’s continue from where we left off.

This blog is broken into 4 pieces

• Part-of-Speech Tagging
• Named Entity Recognition (NER)
• Sentiment Analysis
• N-grams

Part of Speech Tagging

The basic understanding is that we label each word in the sentence with its corresponding parts of speech. A part of Speech is a category of the word we assign to a type of word in a sentence, for example, cat is a noun, or go is a verb.

It is mainly a preprocessing step before applying earlier techniques.

How does it work?

We will find out the POS tagging for the sentence Will will eat apple

For that, we need first to take some sample sentences and do POS tagging on them.

Now we need to make an emission probability table first, let’s learn while building it.

We just count the frequencies of in what context they have been used in the sentences and find their probabilities concerning the part of speech (column-wise).