The document describes a trend detection and analysis system built using Twitter data. It outlines the architecture which includes collecting tweets using the Twitter API, performing natural language processing, and analyzing trends over time using metrics like sentiment, topics, locations and growth rates. It then provides examples of trends analyzed including New Year's, an airliner crash, a movie hack and a gaming network outage. It finds Twitter is good for trend detection and predicting interests but maintaining high data quality is important.