Build a Topic-Modeling Pipeline for Citizen Feedback
Overview
What this challenge is about.
Build a BERTopic pipeline for citizen feedback in three languages, tune topics by department, and create a dashboard. Earn a verifiable certificate.
The scenario
The Barcelona innovation office (around 15 staff inside a 9,000-person municipal government) treats data-driven citizen-feedback analysis as the differentiator from neighboring municipalities.
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.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Topic Modeling
Apply topic modeling to solve real industry problems and demonstrate production-level capability.
- Bertopic
Apply bertopic to solve real industry problems and demonstrate production-level capability.
- Multilingual Nlp
Apply multilingual nlp to solve real industry problems and demonstrate production-level capability.
- Sentence Embeddings
Apply sentence embeddings to solve real industry problems and demonstrate production-level capability.
- Python
Write clean, efficient Python for data processing, automation, and backend services.
- Dashboarding
Apply dashboarding to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these 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