The Text Analysis toolset contains tools that perform natural language processing on text. Text can be classified or transformed, and entities such as addresses can be extracted.
Runs a trained text classification model on a text field in a feature class or table and updates each record with an assigned class or category label.
Runs a trained named entity recognizer model on text files in a folder to extract entities and locations (such as addresses, place or person names, dates, and monetary values) in a table. If the extracted entities contain an address, the tool geocodes the addresses using the specified locator and produces a feature class as an output.
Trains a named entity recognition model to extract a predefined set of entities from raw text.
Trains a text classification model to assign a predefined category or label to unstructured text.
Trains a text transformation model to transform, translate, or summarize text.
Runs a trained sequence-to-sequence model on a text field in a feature class or table and updates it with a new field containing the converted, transformed, or translated text.