no code implementations • COLING 2016 • Nikola Ljube{\v{s}}i{\'c}, Tanja Samard{\v{z}}i{\'c}, Curdin Derungs
In this paper we present a newly developed tool that enables researchers interested in spatial variation of language to define a geographic perimeter of interest, collect data from the Twitter streaming API published in that perimeter, filter the obtained data by language and country, define and extract variables of interest and analyse the extracted variables by one spatial statistic and two spatial visualisations.
