Natural Language Generator

Generates sentences based on numerical inputs, taking into account: sensitiveness and intensity of the data.

With this project you can build sentences like:

• Input: "number of people"
• Old Data
• New Data
• Settings: object containing settings informations:
  • sensitiveness: sensitiveness of data,
  • threshold: minimum value to change level of data
  • precision: desired decimal places
  • dataType: group of the inserted data

Example:

- Today, the number of people decreased reasonably to 2. Decrease of 60% in comparison to yestarday.
- There was an increase of 60% in the number of people counted today in comparison to yestarday. A variation from 5 to 8.
- There wasn't any considerable change in the number of people today. Stayed constant on 5 in comparison to yestarday.

Usage

You can build your own senteces own the senteces.json file, choosing your own variables. You then can set the values of each variables, and changing the NLG intensity.

Development

All contributors of all levels are welcome to help in any possible away.

The project has a MIT license.

Souce Code

git clone https://github.com/DanielDaCosta/sentence-generator.git

References & Acnknoledgments

Special Thanks to @Jitta and his Git Rebo, for the base idea of this project.