# tNLPPredict

Uses a classifier model generated by tNLPModel to predict and label the input text.

tNLPPredict outputs labeled text and the labels for tokens in two separate columns.

This component can run only with Spark 1.6.

For more technologies supported by Talend, see [Talend components](https://help.qlik.com/talend/r/en-US/7.3/components/natural-language-processing).

### In this section

* [tNLPPredict properties for Apache Spark Batch](https://help.qlik.com/talend/en-US/components/7.3/natural-language-processing/tnlppredict-properties-for-apache-spark-batch)

**Related concepts**

[Preparing a text sample to be used for learning a model](https://help.qlik.com/talend/en-US/components/7.3/natural-language-processing/tnlppreprocessing-tnlpmodel-ts3configuration-preparing-text-sample-to-be-used-for-learning-model-this-job)

[Extracting named entities using a classification model](https://help.qlik.com/talend/en-US/components/7.3/natural-language-processing/tnlppredict-tnlpmodel-thdfsconfiguration-ts3configuration-extracting-named-entities-using-classification-model-the)

[Generating a classification model](https://help.qlik.com/talend/en-US/components/7.3/natural-language-processing/tnlpmodel-tnlppredict-thdfsconfiguration-ts3configuration-generating-classification-model-this-job)