No-Code Text and Sentiment Analysis with XM Discover
General Services Administration
Overview
- Development stage
- DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
- High-impact designation
- Not reported
- Impact justification
- Not reported
- Start date
- Not reported
- Withheld from public reporting
- Not reported
Mission
- Topic area
- Service Delivery
- Operational functions
- Summarization Derived by keyword rules; see methodology
Problem the AI is intended to solve
The AI in this use case is intended to solve the problem of efficiently conducting text and sentiment analysis on qualitative feedback in a no-code environment. This allows GSA to gain a more nuanced view of customer sentiment and connect text feedback to key survey metrics and operational data for more thorough insights, moving beyond simple text summarization. Ultimately, the AI helps GSA to improve its ability to make data-driven decisions regarding customer needs.
Expected benefits
Not reported
System outputs
Not reported
Technology
- AI classification
- Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
- System name(s)
- Not reported
- Custom-developed code
- Not reported
- Public source code
- Not reported
Sourcing
- How it was built
- Not reported
- Vendor (as reported)
- Not reported
- Vendors (standardized)
- None on the standard list
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- Not reported
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- Not reported
- Demographic features
- Not reported
- Training and evaluation data
- Not reported
- Federal Data Catalog
- Not reported
Governance
0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Potential impacts and how they were identified
Not reported