Paper: Twitter Catches The Flu: Detecting Influenza Epidemics using Twitter

ACL ID D11-1145
Title Twitter Catches The Flu: Detecting Influenza Epidemics using Twitter
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2011
Authors

With the recent rise in popularity and scale of social media, a growing need exists for systems that can extract useful information from huge amounts of data. We address the issue of detcting influenza epiemics. First, the proposed system extracts influen- za related tweets using Twitter API. Then, only twets that mention actual influenza patients are extracted by the support vector machine (SVM) based clasifier. The ex- periment results demonstrate the feasibility of the proposed approach (0.89 correlation to the gold standard). Especially at the out- break and early spread (early epidemic stage), the proposed method shows high corelation (0.97 correlation), which out- performs the state-of-the-art methods. This paper describes that Twiter texts reflect the real world, and ...