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.
Tools in the Text Analysis toolset
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 with each class having a confidence value.
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 single or multilabel 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.