Detecting influenza outbreaks by analyzing Twitter messages

Details Detecting influenza outbreaks by analyzing Twitter messages Detecting influenza outbreaks by analyzing Twitter messages

2010-07-27

arxiv.org/abs/1007.4748v1

Computer Science

Information Retrieval

Scientific paper

We analyze over 500 million Twitter messages from an eight month period and find that tracking a small number of flu-related keywords allows us to forecast future influenza rates with high accuracy, obtaining a 95% correlation with national health statistics. We then analyze the robustness of this approach to spurious keyword matches, and we propose a document classification component to filter these misleading messages. We find that this document classifier can reduce error rates by over half in simulated false alarm experiments, though more research is needed to develop methods that are robust in cases of extremely high noise.

Affiliated with

Also associated with

No associations

Rating

Detecting influenza outbreaks by analyzing Twitter messages does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Detecting influenza outbreaks by analyzing Twitter messages, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Detecting influenza outbreaks by analyzing Twitter messages will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-321382