IBM Watson™ Ideas

Welcome to the IBM Watson™ Ideas Portal


We welcome and appreciate your feedback on IBM Watson™ Products to help make them even better than they are today!


If you are looking for troubleshooting help or wondering how to use our products and services, please check the IBM Watson™ documentation. Please do not use the Ideas Portal for reporting bugs - we ask that you report bugs or issues with the product by contacting IBM support.


Before you submit an idea, please perform a search first as a similar idea may have already been reported in the portal.


If a related idea is not yet listed, please create a new idea and include with it a description which includes expected behavior as well as why having this feature would improve the service and how it would address your use case.

Revert NLU model to return neutral sentiment scores

Whereas we previously saw that the NLU sentiment scores were distributed throughout the -1 to +1 scale, in the last several months I’ve seen that there are virtually no neutral scores assigned.  In the past it was very common for NLU to assign scores in this range. 

Of the last 10,000 articles we've submitted to the API, the service has returned:

positive (>0.2) 5,274

negative (<-0.2) 4,692

neutral 34

 

I think it is unlikely that in 10,000 pieces of content, just 34 are truly neutral. The team should be aware that the performance of the model does not seem appropriate.

  • Guest
  • Nov 19 2019
  • Needs review
Why is it useful?
Who would benefit from this IDEA? As a customer, I want to be able to compare sentiment scores for content across time. The exaggerated change in the NLU model means that this is no longer feasible.
How should it work?
Idea Priority
Priority Justification
Customer Name
Submitting Organization
Submitter Tags
  • Attach files