Extracting Information from a Set of Documents

At a business level, knowing if and why a customer is angry or happy when they contact a virtual assistant is extremely important, to retain the customer. At an NLP level, this requires more information to be extracted and a more complex algorithm. The additional information to extract and quantify is entities, key phrases, emotional sentiment, and topics.

Detecting Named Entities—AWS SDK for Python (boto3)

An entity is a broader concept—it is something that has an identity of its own. An entity can be a person or a place, a company name or an organization; it can also be a number (say quantity, price, number of days) or a date, a title, a policy number, or a medical code. For example, in the text "Martin lives at 27 Broadway St.", Martin might be detected as a PERSON, while 27 Broadway St might be detected as a LOCATION.

Entities also have a score to indicate the confidence level that the entity type was...