Introduction to Amazon Comprehend and its use cases

In this recipe, we will learn about Amazon Comprehend. We will also learn about the use cases of Amazon Comprehend.

Recipe Objective - Introduction to Amazon Comprehend and its use cases?

The Amazon Comprehend is widely used and is defined as a natural language processing (NLP) service which uses machine learning to find insights and relationships in text and no further machine learning experience is required. Amazon Comprehend uses machine learning to help users uncover the insights and relationships in their unstructured data. Amazon Comprehend service identifies the language of the text, extracts the key phrases, places, people, brands, or events, understands how positive or negative text is, analyzes the text using the tokenization and parts of speech and automatically organizes a collection of text files by the topic. Users can also use the AutoML capabilities in Amazon Comprehend to build the custom set of entities or text classification models which are tailored uniquely to the organization’s needs. Amazon Comprehend console and data access roles can be requested through submission of two AMS Service RFCs: Request access to the Amazon Comprehend by submitting an RFC with the Management, AWS service, Self-provisioned service, Add (ct-3qe6io8t6jtny) change type and this RFC provisions the following IAM role to user's account, customer_comprehend_console_role. And After it's provisioned in users' accounts, users must onboard the role in their federation solution. Amazon Comprehend provides a service to create New IAM Role functionality through the Amazon Comprehend console.

Sentiment Analysis Project on eCommerce Product Reviews with Source Code

Benefits of Amazon Comprehend

  • The Amazon Comprehend uncovers the valuable insights from the text in documents, customer support tickets, product reviews, emails, social media feeds, and more and thus provides a machine learning service to find insights. Amazon Comprehend simplifies the document processing workflows by extracting text, key phrases, topics, sentiment, and more from documents such as insurance claims. Amazon Comprehend enables differentiating users' business by training the model to classify documents and identify terms, with no machine learning experience required. Amazon Comprehend protects and controls who has access to sensitive data by identifying and redacting personally Identifiable Information (PII) from the documents.

System Requirements

  • Any Operating System(Mac, Windows, Linux)

This recipe explains Amazon Comprehend and Use cases of Amazon Comprehend.

Use cases of Amazon Comprehend

    • It provides Legal briefs management

Amazon Comprehend automates the extraction of insights from packets of legal briefs such as contracts and court records. Further secure user's documents by identifying and redacting Personally Identifiable Information (PII) and thus provide legal briefs documents.

    • It processes financial documents

Amazon Comprehend classifies and extracts the entities from financial services documents such as the insurance claims or mortgage packages or find relationships between the financial events in the financial article and thus it processes financial documents.

    • It enables mining business and calls center analytics

Amazon Comprehend detects the customer sentiment and analyze customer interactions and automatically categorize inbound support requests. Amazon Comprehend extracts insights from customer surveys to improve users' products and thus enables mine business and call centre analytics.

    • It enables index and search product reviews

Amazon Comprehend focuses on the context by equipping users' search engines to index key phrases, entities, and sentiment, not just keywords and thus enables index and search product review thus benefits the users.

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