Analysis of Turkish Parliament Records in Terms of Party Coherence

In natural language processing and text mining, highly successful applications are developed with the recently introduced techniques. Particularly, noticeable performance increases are achieved on countless applications by using word embedding method. In this paper, we propose a novel text mining method based on word embedding and Fisher vector. The automatic analysis of political records is selected as a special application. Second novelty of this paper is the definition of party coherence and its objective evaluation with the proposed method. Experiments conducted on Turkish parliament records clearly show the apparent coherence of the party speeches and the differentiation with other parties. In the light of the experimental results, our proposed method can be utilized in many other domains including the political analysis.