Accelerated Text is a no-code natural language generation platform. It will help you construct document plans which define how your data is converted to textual descriptions varying in wording and structure.
We are bringing Python integration with this release! You can now load your data, choose the document plans, run text generation, and get results - all from your Python code. For the details on other bug fixes and improvements, see linked issues.
This version comes with better organization of the document plan files and introduction of the text generation project. Now you can set up a separate location for all your customization and document plans based on a project template. We have also made the whole package much leaner with refactored UI.
Changelog
The highlights of this release are data enrichment and reader model functionality. With the first, raw incoming data can be modified before it appears in the generated text. With the latter, text generation can be adopted to different target audiences.
Given the two new features and a data point coming from the database Q1 profit = 130050
, a more promotional text for the public Q1 profits were over $130k can be generated. While Q1 profits were $130050 version would be generated for the financial analyst.
Changelog
The highlight of this release is the improved support for the list blocks. Now we can enumerate things in text better. Complete list of improvements:
With this release Accelerated Text has: