Kucuk, Dilek/0000-0003-2656-1300WOS: 000398600404013Background
People started to instantly share news/opinions through social media platforms like Twitter. Public health related concerns/news are also shared, especially on Twitter, so there is an increasing
research attention on tweet analysis to track public health events.
This study presents a software application that automatically
detects public health related Turkish tweets, together with its
performance evaluation result on a genuine tweet set
