Tonic Textual release information

Textual now allows you to parse EML and MSG files.

You can now use the Python SDK to configure Azure pipelines.

Bug fixes and other internal updates.

Bug fixes and other internal updates.

You can now use the Python SDK to configure Amazon S3 pipelines.

Amazon Textract can now be used to process dataset files.

On the Python SDK, added parameters for pipeline creation, including the file location, the connection credentials, and whether to also generate redacted files.

Improved the Textual NER model throughput on long strings that contain a large number of numeric characters.

Added the redact_html function to the SDK, which allows you redact sensitive values from HTML strings.

Improved detection of names and organizations.

Disabled auxiliary model detection of WORK_OF_ART.

Improved the Textual NER model throughput on long strings that contain a large number of detected entities.

Added support to store dataset files in a specified S3 bucket, instead of in the Textual application database.

When Textual replaces first name values, it now attempts to use a name with the same gender.

For the DOB (date of birth) entity type, you can now configure synthesis options. You can set how to shift the date.