---
sourceDocument: Yokohama Employee Service Management
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/yokohama/employee-service-management

 Release :

    - yokohama

ft:locale :

    - en-US

ft:publication_title :

    - Yokohama Employee Service Management

ft:clusterId :

    - emplsm

bundleId :

    - emplsm

workflow :

    - Employee


---

# Train the NLU model

# Train the NLU model {#ariaid-title1}

Release version: Yokohama  
Updated January 30, 2025  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read  
Use the UKG Topics Model (Natural Language Understanding model) to recognize and process
employee utterances, intentions (intents), and objects of, or contexts for, an action (entities).

## Before you begin

Role required: sn_hr_ukg.admin

## About this task

You can train the model dataset iteratively using utterance examples so that the system predicts the optimal intent output for a new utterance.

## Procedure

1. Navigate to AllNLU WorkbenchModels.
2. Select UKG Topics Model.
3. Click Train.
{#nlu-ukg-model__steps_zhc_mkx_44b}

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