A system that detects the most frequently occurring hash tags and named-entities from the live Twitter data stream and calculate sentiment values in real-time
- utilized Apache Storm to get and process realtime Twitter data
- used Stanford NLP to do sentiment analysis on Twitter data
- optimize the performance by parallelizing all the bolts