Description

    Natural Language Processing helps to analyse text and extract meta-data from
content such as sentiments, concepts, entities, etc. For example, you submit a
review and service returns sentiment behind review like positive or negative. It can
also do POS tagging. POS tags are useful for building parse trees, which are used in
building NERs (most named entities are Nouns) and extracting relations between
words.

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To get further info on the product, view detailed
documentation to understand how to access this
service.