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AI-Assisted Sentiment Analysis for Learner Feedback

Education & Learning

What it collects

About behaviour
Anonymized data
  • Learner feedback surveys and course evaluations submitted by GC employees after completing training. The register states no personal information is involved, so responses are treated as de-identified.

Government of Canada AI Registry — Sentiment Analysis (2526-CSPS-EFPC-015)

Run by
Canada School of Public Service (CSPS)
Where
No fixed location
Kept
Not stated by the Helpful Places.
Shared with
Accountable organization, Vendor

What it is for

This system automatically analyzes written feedback submitted by Government of Canada employees after completing learning courses. It uses AI to score sentiment across dimensions such as relevance, content quality, and user experience. The system processes feedback surveys and course evaluations; it does not involve personal information. Users are informed that AI is in use.

What it collects and what happens to it

Data taken in

About behaviour
Anonymized data
  • Learner feedback surveys and course evaluations submitted by GC employees after completing training. The register states no personal information is involved, so responses are treated as de-identified.

Government of Canada AI Registry — Sentiment Analysis (2526-CSPS-EFPC-015)

Processing

Affect & Emotion Analysis
  • Transformer-based aspect-based sentiment analysis models (running on Microsoft Azure) extract sentiment scores from free-text learner feedback across dimensions including relevance, content quality, and user experience.

Government of Canada AI Registry — Sentiment Analysis (2526-CSPS-EFPC-015)

What it does

Deciding (Analytical AI)
Human decides
  • The system scores and classifies learner feedback by sentiment across multiple aspects (relevance, content quality, user experience). Scores are produced for human review by CSPS program staff who use them to inform course improvement decisions.

Government of Canada AI Registry — Sentiment Analysis (2526-CSPS-EFPC-015)

Outputs

About a measurement
Anonymized data
  • Sentiment scores assigned per aspect (relevance, content quality, user experience) across aggregated learner feedback. Outputs are not tied to individual respondents and are used by CSPS staff to assess and improve training programs.

Government of Canada AI Registry — Sentiment Analysis (2526-CSPS-EFPC-015)

Run by

Canada School of Public Service (CSPS)
  • The Canada School of Public Service (CSPS) deploys and operates this sentiment analysis system to evaluate learner feedback on its training programs.

Government of Canada AI Registry — Sentiment Analysis (2526-CSPS-EFPC-015)

Built by

Microsoft Azure
  • Microsoft Azure provides the cloud AI platform and transformer-based natural language processing services used to build and run the sentiment analysis system.

Government of Canada AI Registry — Sentiment Analysis (2526-CSPS-EFPC-015)

Kept for

Not stated by the Helpful Places.

Shared with

Available to the accountable organization
  • Sentiment scores and aggregated analysis outputs are available to Canada School of Public Service staff for program evaluation and course improvement purposes.

Government of Canada AI Registry — Sentiment Analysis (2526-CSPS-EFPC-015)

Available to vendor
  • Microsoft Azure, as the technology platform provider, has access to data processed through its cloud services in accordance with its data processing agreements with the Government of Canada.

Government of Canada AI Registry — Sentiment Analysis (2526-CSPS-EFPC-015)

Stored

Not stated by the Helpful Places.

How to read the colours

Can it identify you?

Anonymized data
Data about people with the link to who is broken. Stripped of identifiers, blurred, aggregated, or noised so this system can’t reasonably tie a record back to an individual.
Pseudonymous data
Each person’s data is tied to a token (hash, ID, template) that lets this system recognise the same person across events, but the token itself doesn’t reveal a name. Reidentification is possible with extra information.
Identifiable data
The data either contains a direct identifier (name, address, account name, recognisable face or voice, plate number) or carries a token this system uses to look up legal identity during processing.

Who completes the loop?

Human decides
This mode suggests; a person decides what to do next. The AI is always advisory — a human is in the loop on every decision. Example: a triage tool ranks cases for a clinician who chooses which to see first.
Human executes
This mode decides; a person carries out the result. Example: an optimizer plans the day’s trash-collection routes, and drivers run them.
Autonomous
This mode decides and acts on its own. No person reviews each decision or carries out the resulting action.

Definitions from the DTPR standard. Amber is about your data, violet about who decides. The fuller the shape and the deeper the colour, the more identifying the data or the less a person is involved.

What you can do

Ask about this system

Questions go to the Helpful Places, not the vendor.

Your rights

  • Right to Be Informed of AI UseGC employees are informed that AI is used to analyze their course feedback. The register confirms AI use is disclosed to users.

Risks and safeguards

No risks or safeguards have been published for this system yet.