[rsmith49]

To expand a little on the previous answer, existing cloud API's typically fall into one of the following categories:

1) generic NLP classification API's where you need your own large supply of training data and have very little (if any) control over model parameters, or

2) Topic extraction/topic modeling (usually employing LDA), which will simply give a list of potential topics, and will not be able to conform to the set of topics (in our case called "tags") that we have selected.

Because of this, our solution is better at addressing the specific problem of categorizing customer feedback, and allows for more flexibility in how we can collect and manage data.