Analysis
Topic Modeling for Sustainable Fashion Brand's Social Media
Overview
What this challenge is about.
You are given a dataset of 50,000 social media posts (text only) mentioning EcoWear. Your task is to preprocess the text, apply an unsupervised topic modeling technique (e.g., LDA, NMF, or BERTopic), and identify 5-10 coherent topics. You must then interpret each topic and provide a one-page strategy memo suggesting how EcoWear can adjust their content to better engage their audience. Success means the topics are interpretable and the recommendations are data-driven.
The Brief
What you'll do, and what you'll demonstrate.
What are the key topics in EcoWear's social media mentions, and how can they inform content strategy?
Earning criteria — what you'll demonstrate
- Apply unsupervised topic modeling techniques (LDA or BERTopic) to a real-world text corpus
- Evaluate topic coherence and interpret results
- Translate quantitative findings into qualitative business insights
- Communicate complex analytical results to a non-technical audience
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Skills
Skills you'll demonstrate.
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Careers
Roles this prepares you for.
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