Natural Language Processing


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.

Learn More

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