Code
Real-Time Sentiment Analysis for a Sustainable Fashion Brand
Overview
What this challenge is about.
You are to develop a real-time sentiment analysis system for EcoWear. Ingest data from Twitter API (hashtag #EcoWear) and a mock review API, process using Spark Streaming with MapReduce-style aggregation, store results in a NoSQL database, and create a Tableau or Power BI dashboard. Constraints: use open-source tools, handle at least 1000 events per minute, and provide sentiment breakdown by product category. Success means a working prototype with live demo and a report on insights.
The Brief
What you'll do, and what you'll demonstrate.
Build a real-time sentiment analysis pipeline using big data technologies to monitor customer feedback and provide actionable insights.
Earning criteria — what you'll demonstrate
- Implement real-time data processing with Spark Streaming
- Apply MapReduce paradigm for distributed aggregation
- Integrate multiple data sources (API, social media)
- Design a NoSQL schema for time-series sentiment data
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 mappings coming soon.