NLPClassifier

Using a trained model, this transformer classifies natural language text into different categories. It can be used for filtering, sentiment analysis, and other tasks.

NLPClassifier requires a trained *.fmd (FME MoDel) file, which are produced by the companion transformer, NLPTrainer.

Configuration

Input Ports

Output Ports

Parameters

Additional References

For more information about natural language processing with FME, see the documentation for the companion NLPTrainer transformer.

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.

Reference

Processing Behavior

Feature-Based

Feature Holding

No

Dependencies  
FME Licensing Level FME Base Edition and above
Aliases  
History Released FME 2019.0
Categories

Filters and Joins

Strings

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 NLPClassifier on the FME Community.

 

Examples may contain information licensed under the Open Government Licence – Vancouver