Named Entity Recognition (NER) with Pre-trained Models
The concept name is missing or undefined, and the provided sources contain only tutorial titles without any descriptive content to ground a definition. A valid definition cannot be written without a concept name and supporting source snippets that describe it.
Tutorials that teach this
- Tutorial Create Dataset and Upload Training Data
- Tutorial Use the Python SDK for Business Entity Recognition
- Tutorial Deploy Model and Get Prediction Results
- Tutorial Detect and Highlight Entities from Unstructured Text with Pre-trained Models
- Tutorial Set Up the Python SDK for Business Entity Recognition
Prerequisites
- Concept OAuth Access Token Retrieval The concept provided is **undefined** — no concept name was supplied for definition. Based on the available sources, a definition cannot be accurately scoped or written without knowing the specific concept to define. If you intended to ask about a concept such as **mTLS (Mutual Transport Layer Security)** for access tokens, or **OAuth Access Tokens** on SAP BTP, please resubmit with a clearly named concept so it can be grounded in the provided sources.
- Concept Pre-trained Model Integration The concept name was not provided, and the available source snippets do not contain enough shared or specific detail to identify and define a single, unambiguous SAP developer concept. Please provide the concept name or additional source content so an accurate, grounded definition can be written.
- Concept Inference Request The provided sources do not contain enough grounded information to write a reliable 2–4 sentence definition for an **undefined** concept. The sources reference various SAP AI tutorials and a Generative AI scenario management page, but no specific concept name or description is supplied to define. Please provide a valid concept name and relevant source snippets so an accurate definition can be written.
- Concept Machine Learning Model Deployment The concept name provided is "undefined," so no specific SAP developer concept can be accurately defined. Based on the available sources, the closest supported topic relates to deploying and undeploying machine learning models on SAP Business Technology Platform: once training has successfully completed for a model, it can be [deployed](https://help.sap.com/docs/btp/sap-business-technology-platform/d85117a56b094b309c56d99afa6bcab2?locale=en-US&state=PRODUCTION&version=Cloud) so that it is available for generating predictions. Developers can also manage the full lifecycle of such models using [Intelligent Scenario Lifecycle Management](https://help.sap.com/docs/btp/sap-business-technology-platform/2217809cdb5842bf98211c61a8ef55ca?locale=en-US&state=PRODUCTION&version=Cloud), which provides tooling to oversee intelligent scenarios from training through deployment.
- Concept Machine Learning Inference **Intelligent Scenario Lifecycle Management (ISLM)** is an SAP BTP capability that enables developers and administrators to manage the full lifecycle of intelligent scenarios — including machine learning models and AI-based predictions — within SAP applications. According to the [official documentation](https://help.sap.com/docs/btp/sap-business-technology-platform/2217809cdb5842bf98211c61a8ef55ca?locale=en-US&state=PRODUCTION&version=Cloud), it provides tooling to govern how intelligent scenarios are deployed, activated, and maintained. Developers use it to operationalize AI scenarios such as sales order completion, service ticket classification, and recommendation models within the SAP ecosystem.
- Concept Business Entity Recognition Service Setup The concept name was not provided, so a precise definition cannot be determined. Based on the available sources, **Business Entity Recognition** is an SAP AI service that allows developers to identify and extract named business entities — such as organizations, persons, or locations — from unstructured text. Developers interact with it by provisioning a service instance, obtaining an OAuth access token for authentication, and then using the [Python SDK](https://developers.sap.com) or REST APIs to create datasets, upload training data, deploy models, and retrieve prediction results.
- Concept Swagger UI API Interaction The concept name was not provided and cannot be determined from the available source snippets, which cover a range of SAP machine learning and data recommendation tutorials. Without a defined concept to describe, a grounded definition cannot be written. Please provide a valid concept name to generate an accurate reference definition.