Explain HMM.

HMM or Hidden Markov model is a process which predicts unknown variable by studying a set of known or observed variables.

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Explain Default tagging with proper implementation in Python. 1 | 0

Default tagging is the simplest and basic step for POS tagging.

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What are the different types of POS tagging technique?

Some of the most important types of POS tagging techniques are

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What is chunking?

It is a way or a process of finding out phrases or words from unstructured text.

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Differentiate Porter from Lancaster stemming algorithms?

Porter algorithm is the least aggressive algorithm which is why is widely used and is the oldest stemming algorithm.

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Define n-grams

N-grams are used in text p reprocessing tasks and they are a combination of words occur in a given window.

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Which is better, stemming or lemmatization?

Stemming is a relatively faster algorithm compared to lemmatization because of its easy ‘word chopping’ algorithm unlike…

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Differentiate stemming from lemmatization.

Stemming basically chops off the beginning or end of a word to bring it in its base form.

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Mention some of the use cases of Named Entity Recognition?

Named Entity Recognition can be used in many fields and are helpful in a wide variety of cases.

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