# Identification Models

- 3 Sub categories
- 3 Articles

[Identification Models Overview](https://help.hyperscience.ai/v43/docs/identification-models-overview)

- Published on May 6, 2026

Identification models in Hyperscience are machine learning models used to extract data from semi-structured documents by learning how textual segments correspond to specific fields or table entries. To learn more, see Text Segmentation.

[Training Data Management](https://help.hyperscience.ai/v43/docs/training-data-management1)

- 6 Articles

[Model Training](https://help.hyperscience.ai/v43/docs/model-training)

- 3 Articles

[Model Maintenance](https://help.hyperscience.ai/v43/docs/model-maintenance)

- 4 Articles

[Text Segmentation](https://help.hyperscience.ai/v43/docs/text-segmentation)

- Published on May 6, 2026

Using features for Semi-structured documents. This article mentions features used in the processing of Semi-structured documents. Your access to those features depends on your license package and pricing plan.

[Importing and Exporting Training Data](https://help.hyperscience.ai/v43/docs/importing-and-exporting-training-data)

- Published on May 6, 2026

To ensure that you do not lose any training data during application upgrades and model setups, you can move your training data between environments. The ability to export your models’ training data from production to lower environments can also help.