Shot-text classification is a challenging topic in particular for Turkish text due to sparsity of distinguishing features and high dimensionality.
Most of the jobs related to Turkish tweets are done for sentiment analysis. This project aims to analyze and classify Turkish tweets on Twitter based on their topics which are decided as follow: polity, economics&investment, health, technology&informatics, history, literature&film, sports, education&personal growth and magazine.