For example, searching for keywords relating to earthquakes or influenza allows for impressive results to be achieved in earthquake detection or influenza outbreak analysis (Sakaki et al., 2010;Ritterman et al., 2009).
as such, we might conclude that social media data is a foe of NLP, in that it challenges traditional assumptions made in NLP research on the nature of the target text and the requirements for real-time responsiveness.