We have already learned how to use AWS to interpret images in the case of Amazon Rekognition and documents in the case of Amazon Textract. Here we change the focus of images and documents to what all applications are interacting with on a daily basis: text.
The information that is valuable is in the form of emails, reviews, support tickets, social media posts, chat messages, feedback forms, and survey responses. Nevertheless, it becomes impractical to read and analyze this data manually when it becomes large.
Amazon Comprehend allows applications to initialise and unlock meaning in text with Natural Language Processing (NLP).
What Amazon Comprehend Is ?
Amazon Comprehend is a comprehensive managed artificial intelligence service that can read and extract the concepts of sentiment, key phrases, entities, language, and topics. Comprehend comprehends the meaning of words in their original context and intent unlike the conventional ways of text processing where the matching of keywords is applied.
Indicatively, it can tell a positive review or a negative one by a customer, that "Amazon" is an organization, not a river, or that a lengthy paragraph had key words.
It is important since these applications are used today to create large volumes of unstructured text in large amounts. Amazon Comprehend enables programmers to transform that unstructured text into structured, actionable information without having to create NLP models.
How it works?
Amazon Comprehend processes the input with pre-trained deep learning models when you send text to it and this is intended to understand the language. These models are trained on big data on various languages and various writing styles.
The service splits text into tokens, deconstructs grammar, judges the semantic meaning, and uses classification methods to generate insights. All this is going on behind the scenes. As a developer, it is still a simple API call which can give a response in the form of a JSON.
This is the abstraction that makes Comprehend usable even to software developers who have no experience in either linguistics or machine learning.
Major functionalities:
Amazon Comprehend is characterized by a number of essential features that fulfill a particular need related to the analysis of the text.
Sentiment analysis identifies the positive, negative, neutral, and mixed emotions in the text. It is typically applied to customer feedback system, review analysis and social media monitoring.
Entity recognition involves recognising in the real world objects like people, commercial objects, locations, dates, quantities, and organisations. Considering the sentence, Apple released the iPhone in California, Comprehend is able to recognize the correct organization (Apple) and the correct location (California).