Tweets as data: demonstration of tweeql and twitinfo

Microblogs such as Twitter are a tremendous repository of user-generated content. Increasingly, we see tweets used as data sources for novel applications such as disaster mapping, brand sentiment analysis, and real-time visualizations. In each scenario, the work-flow for processing tweets is ad-hoc, and a lot of unnecessary work goes into repeating common data processing patterns. We intro-duce TweeQL, a stream query processing language that presents a SQL-like query interface for unstructured tweets to generate struc-tured data for downstream applications. We have built several tools on top of TweeQL, most notably TwitInfo, an event timeline gener-ation and exploration interface that summarizes events as they are discussed on Twitter. Our demonstration will allow the audience to interact with both TweeQL and TwitInfo to convey the value of data embedded in tweets