What is chunking and shallow parsing?

1.8K    Asked by OtaAzuma in Data Science , Asked on Jan 5, 2020
Answered by Ota Azuma

It is a process which isolates words in the form of phrases which can be either a noun or verb phrases. They behave the same as n-grams or compounds when implemented in the model such as vector space model. The entire chunk when added in the model act as a separate dimension to the model.


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Chunking, also known as shallow parsing, is a technique in natural language processing (NLP) that breaks a sentence into smaller, meaningful groups of words (like noun phrases or verb phrases) without analyzing their full grammatical structure.  Ragdoll Hit

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