OMB Individually Reported
SVM Classification of Write-in Topics from MSD Customer Sat Survey
Low riskExact public inventory row
Description
Support Vector Machine used to analyze write-in feedback from annual NASA MSD Customer Sat Survey, to classify comments into roughly 30 topics for visualization by Voice of the Customer Explorer (VOCE) dashboard
Detailed example
Classification of comments into a taxonomy of themes
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
AIML lets us surface insights from MSD Customer Sat Survey write-in comments that otherwise would be ignored.
Controls / human review
ATO: Not reported; PIA: Not published