Welcome to AutoML Natural Language Entity Extraction, which enables you to create custom machine learning models to identify a custom set of entities within English-language text.
Custom machine learning models are useful when the pre-defined entities that are available from the Natural Language API are too generic or not applicable to your specific use case or knowledge domain.
In this section
- Quickstart - Use the AutoML Natural Language Entity Extraction UI to train and validate a custom model for classifying content.
- Before you begin - Information on setting up a Google Cloud Platform project that you can use with AutoML Natural Language Entity Extraction.
- Preparing your training data - Information on preparing and formatting training data for AutoML Natural Language Entity Extraction.
- Creating datasets, training models, and evaluating results - How to complete the main steps in creating your custom model.
- REST Reference
- RPC Reference
You can view discussions and post questions and feedback to the Natural Language discussion group.