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Analysis

Build a Topic-Modeling Pipeline for Citizen Feedback

FreeVerified credential3 weeksIntermediate

Overview

What this challenge is about.

Take the 60,000 comments (anonymized). Build a BERTopic pipeline with multilingual sentence embeddings (Catalan + Spanish + occasional English). Tune number-of-topics via topic-coherence + manual review. Tie topics to the four city departments. Render results as a dashboard (Streamlit or simple HTML) with example comments per topic, trend lines by quarter, and a click-through to raw comments. Write a 4-page brief for the city's chief innovation officer.

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

The Brief

What you'll do, and what you'll demonstrate.

Build a multilingual topic-modeling pipeline that surfaces actionable themes from 60,000 citizen comments and a dashboard officials actually read.

Earning criteria — what you'll demonstrate

  • Apply transformer-based topic modeling to a real multilingual corpus
  • Tune topic count using both automated and manual criteria
  • Visualize topic trends in a stakeholder-readable dashboard
  • Communicate qualitative themes from quantitative analysis

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

Skills

Skills you'll demonstrate.

Each one shows up on your verified credential.

Careers

Roles this prepares you for.

Real titles. Real skill bridges. Pick the one closest to your trajectory.

Career paths this builds toward

Canonical roles

Data Scientist

Topic-modeling free-text feedback and turning it into a stakeholder dashboard is bread-and-butter data-scientist work at government, NGO, and product-research teams.

This challenge sharpens

  • topic-modeling
  • multilingual-nlp
  • dashboarding

NLP Engineer

Working with multilingual sentence embeddings and tuning topic-modeling pipelines is the NLP-engineer skill set behind any text-analytics product.

This challenge sharpens

  • bertopic
  • sentence-embeddings
  • multilingual-nlp

Applied AI Scientist

Translating quantitative topic models into qualitative briefs that influence decisions is exactly the applied-AI work civic-tech and public-sector consultancies hire for.

This challenge sharpens

  • topic-modeling
  • python
  • dashboarding

One more thing

You can put a credential on your CV by Friday.