ComprehendConnector

Accesses the Amazon AI Comprehend Service for natural language processing on text.

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Typical Uses

  • Submitting text to the Amazon AWS Comprehend service for analysis to:
    • Detect dominant language
    • Determine sentiment information
    • Detect key phrases
    • Detect entities

How does it work?

The ComprehendConnector uses your Amazon AWS account credentials (either via a previously defined FME web connection, or by setting up a new FME web connection right from the transformer) to access the natural language processing service.

It will submit text to the service, and return features with attributes about that text. Each input text feature may result in several output features.

Usage Notes

  • For better performance, requests to the Comprehend service are made in parallel, and are returned as soon as they complete. Consequently, detection results will not be returned in the same order as their associated requests.
  • All confidence scores are returned between 0 and 1. For more information about accuracy, see the Amazon Comprehend FAQs: https://aws.amazon.com/comprehend/faqs/

Configuration

Input Ports

Output Ports

Parameters

Editing Transformer Parameters

Using a set of menu options, transformer parameters can be assigned by referencing other elements in the workspace. More advanced functions, such as an advanced editor and an arithmetic editor, are also available in some transformers. To access a menu of these options, click beside the applicable parameter. For more information, see Transformer Parameter Menu Options.

Defining Values

There are several ways to define a value for use in a Transformer. The simplest is to simply type in a value or string, which can include functions of various types such as attribute references, math and string functions, and workspace parameters. There are a number of tools and shortcuts that can assist in constructing values, generally available from the drop-down context menu adjacent to the value field.

Dialog Options - Tables

Transformers with table-style parameters have additional tools for populating and manipulating values.

Reference

Processing Behavior

Feature-Based

Feature Holding

No

Dependencies Amazon AWS Account with Comprehend access
FME Licensing Level FME Base Edition and above
Aliases AmazonAWSComprehendConnector
History Released FME 2019.2

FME Community

The FME Community is the place for demos, how-tos, articles, FAQs, and more. Get answers to your questions, learn from other users, and suggest, vote, and comment on new features.

Search for all results about the ComprehendConnector on the FME Community.

 

Examples may contain information licensed under the Open Government Licence – Vancouver and/or the Open Government Licence – Canada.