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
Input
This transformer accepts any feature.
Output Ports
LabelledText
This port outputs each feature that was input, adding a label indicating the model’s classification of the text on that feature. This label is added as an attribute with the specified attribute name. If the text was not read from the feature, the text will also be added as an attribute with the name ‘__nlp_text’.
<Rejected>
Features for which the model cannot classify the text, often because the text itself cannot be retrieved, are routed to this port.
Rejected Feature Handling: can be set to either terminate the translation or continue running when it encounters a rejected feature. This setting is available both as a default FME option and as a workspace parameter.
Parameters
Model
| Classifier Model | The location of the *.fmd file to use as a model for classification. |
Classification
| Text to Classify | The text to classify from each feature. |
| Label Attribute | The attribute name to use when adding labels to features with classified text. |
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.
How to Set Parameter Values
Using the Text Editor
The Text Editor provides a convenient way to construct text strings (including regular expressions) from various data sources, such as attributes, parameters, and constants, where the result is used directly inside a parameter.
Using the Arithmetic Editor
The Arithmetic Editor provides a convenient way to construct math expressions from various data sources, such as attributes, parameters, and feature functions, where the result is used directly inside a parameter.
Conditional Values
Set values depending on one or more test conditions that either pass or fail.
Parameter Condition Definition Dialog
Content
Expressions and strings can include a number of functions, characters, parameters, and more.
When setting values - whether entered directly in a parameter or constructed using one of the editors - strings and expressions containing String, Math, Date/Time or FME Feature Functions will have those functions evaluated. Therefore, the names of these functions (in the form @<function_name>) should not be used as literal string values.
Content Types
| These functions manipulate and format strings. | |
|
Special Characters |
A set of control characters is available in the Text Editor. |
| Math functions are available in both editors. | |
| Date/Time Functions | Date and time functions are available in the Text Editor. |
| These operators are available in the Arithmetic Editor. | |
| These return primarily feature-specific values. | |
| FME and workspace-specific parameters may be used. | |
| Creating and Modifying User Parameters | Create your own editable parameters. |
Reference
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Processing Behavior |
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Feature Holding |
No |
| Dependencies | |
| FME Licensing Level | FME Base Edition and above |
| Aliases | |
| History | Released FME 2019.0 |
| Categories |
FME Community
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Search for all results about the NLPClassifier on the FME Community.
Examples may contain information licensed under the Open Government Licence – Vancouver