Dialog Skill Analysis is a Python framework along with an easy-to-use Python notebook to help you quickly and effectively build AI assistants using Watson Assistant
Whether you are new to the process and are building your first AI assistant or you’re a veteran and have an assistant working well in production, this framework is intended to help everyone with questions like...
- How do I know my assistant is doing a good job?
- How do I test and measure my assistant’s performance?
- Why is the assistant responding incorrectly to this question?
- How do I improve my assistant’s ability to understand questions?
If you clone the notebook from this repository locally, please use the steps below. For usage in Watson studio, please refer to the session below on Hosted Python Notebook
- Assumes familiarity using a Python Jupyter notebook
- Assumes a Python 3.6 or greater environment (We recommend using Anaconda to setup a python environment)
- Install dependencies with
pip install -r requirements.txt - Start jupyter server with
jupyter notebook - Run
skill_analysis.ipynbto start session
An introduction to Dialog Skill Analysis on Medium: Announcing Dialog Skill Analysis
For those of you familiar with IBM Watson Studio, we have also made a hosted version of the notebook available on the IBM Gallery: Hosted Dialog Skill Analysis Notebook
 Haode Qi |
 Ladislav Kunc |
 Ming Tan |
 Navneet Rao |
 Panos Karagiannis |
 Yang Yu |