Summary

In this chapter, we learned about analyzing Topic Modeling results from AWS Comprehend. You are now able to incorporate S3 to store data and use it to perform analysis. Also, we learned how to analyze documents where we know the topics before performing Topic Modeling, as well as documents where the topic is unknown. We know that the latter requires additional analysis to determine the relevant topics.

We did not build the downstream systems that analyze the topic lists and then route the document appropriately. For example, you might have a mapping of the topics to a SharePoint folder for knowledge management or a workflow to route the files via email to appropriate persons depending on the topics detected. While the broader topic of Robotic Process Automation (RPA) is beyond the scope of this book, you have learned how to use Amazon Comprehend to implement the Topic and Theme detection steps for process automation.

Another application of what you learned in this chapter...