Title :
Analysis of Deputy and Party Similarities through Hierarchical Clustering
Author :
Lefait, Guillem ; Kechadi, Tahar
Author_Institution :
Sch. of Comput. Sci. & Inf., Univ. Coll. Dublin, Dublin, Ireland
Abstract :
Speeches delivered in the French Parliament by deputies and government members are analysed, similarities between individuals are induced by the word corpus used, and finally deputies are grouped through hierarchical clustering. Similarity measures between political individuals are compared on a classification task: assigning a party to each actor. Finally, this analysis lead to a new organisation of the deputies, not only with the political party they are associated with, but also with the themes they react and the messages they deliver.
Keywords :
government data processing; pattern clustering; politics; French Parliament; deputy analysis; hierarchical clustering; party similarity analysis; political party; Blogs; Computer science; Costs; Educational institutions; Government; Informatics; Labeling; Speech; Vocabulary; Wikipedia; clustering; hierarchical clustering; political; text mining;
Conference_Titel :
Digital Society, 2010. ICDS '10. Fourth International Conference on
Conference_Location :
St. Maarten
Print_ISBN :
978-1-4244-5805-9
DOI :
10.1109/ICDS.2010.49