Abstract Extracting meaningful information from short texts like tweets has proved to be a challenging task. Literature on topic detection focuses mostly methods that try guess the plausible words describe topics whose number been decided in advance. Topics change according initial setup of algorithms and show consistent instability with moving one another one. In this paper we propose an itera...