Political texts are pervasive on the Web covering laws and policies in national and supranational jurisdictions. Access to this data is crucial for government transparency and accountability to the population. The main aim of our research is developing a ranking method for political documents which captures the interesting content within political documents. Text interestingness is a measure of assessing the quality of documents from users' perspective which shows their willingness to read a document. Different approaches are proposed for measuring the interestingness of texts. In this research we focus on measuring political texts' interestingness. As political data sources, we use publicly available parliamentary proceedings.
Raymond K. PonAlfonso F. CárdenasDavid Buttler
Raymond K. PonAlfonso F. CárdenasDavid Buttler
Sanjeev SharmaSwati KhareSudhir Sharma
Samuel A. RobertsSimon M. Lucas
Navin KumarAryya GangopadhyaySanjay BapnaGeorge KarabatisZhiyuan Chen