DocumentCode
1867479
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
fYear
2010
fDate
10-16 Feb. 2010
Firstpage
264
Lastpage
268
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Society, 2010. ICDS '10. Fourth International Conference on
Conference_Location
St. Maarten
Print_ISBN
978-1-4244-5805-9
Type
conf
DOI
10.1109/ICDS.2010.49
Filename
5432787
Link To Document