Analytics of social media data to report social buzz
Objective
A client wanted a reporting dashboard for tracking social buzz around several key attributes available from twitter.
Challenges
Integrating, consolidating and migrating large volumes of unstructured data
Approach
- Scraped and cleaned tweet data with Python
- Purged obsolete data to rationalize data assets
- NGram and sentiment analysis
- Stored data with SQLite database, connected to Tableau for visualization
Impact
- Created social buzz tracker for Twitter activity with focus on customer concerns
- Created dynamic, interactive visualizations
Questions