DHS · DHS-2386 · record R1874

Sentiment Analysis -FOD Field Offices Complaints and Reviews

Department of Homeland Security · USCIS

Overview

Development stage: In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: Not reported
Withheld from public reporting: Not reported

Mission

Topic area: Administrative Functions
Operational functions: Public-facing customer service Derived by keyword rules; see methodology

Problem the AI is intended to solve

The AI solution helps USCIS Field Offices efficiently analyze and categorize large volumes of complaints by using machine learning to identify sentiment trends (positive, negative, or neutral) in public feedback.

Expected benefits

This system indicates the positive or negative feelings people express in their feedback to the U.S. Citizenship and Immigration Services (USCIS). Survey results categorized to specify the sentiments as positive negative or neutral tone in an excel dashboard.

System outputs

A graph which categorizes the data into different sentiments using databricks dashboard to see how the customer service can be improved. Does not give any recommendation or decision.

Technology

AI classification: Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
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.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported