DHS · DHS-45 · record R1982

Text Analytics for Survey Responses (TASR)

Department of Homeland Security · MGMT

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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 high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: 2022-11-01 (day precision)Source: 2022-11-01T00:00:00
Withheld from public reporting: Not reported

Mission

Topic area: Administrative Functions
Operational functions: Document processing and extraction Derived by keyword rules; see methodology

Problem the AI is intended to solve

Quickly and accurately pulling significant topics and themes from unstructured text responses to DHS internal surveys.

Expected benefits

The intended purpose of the AI is to perform topic modeling, sentiment analysis, or other text classification tasks on responses provided to internal staff DHS Pulse Survey questions. Text Analytics for Survey Responses (TASR) is an application for performing Natural Language Processing (NLP) and text analytics on survey responses. It is currently being applied by DHS Office of the Chief Human Capital Officer (OCHCO) to analyze and extract significant topics/themes from unstructured text responses to open-ended questions in the quarterly DHS Pulse Surveys. Results of extracted topics/themes are provided to DHS Leadership to better inform agency-wide efforts to meet employees’ basic needs and improve job satisfaction

System outputs

The systems outputs include a set of topics inferred or surfaced from the raw text comment data, as well as sentiments or other classifications inferred from the data.

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: Yes
Public source code: github.com ↗

Sourcing

How it was built: Developed in-houseSource: b) Developed in-house
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: No
Privacy Impact Assessment: Not reported
Authorization to Operate: No
Demographic features: Not reported
Training and evaluation data: Pulse survey data.
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