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Analysis of Deputy and Party Similarities through Hierarchical Clustering

机译:通过层次聚类分析代理与政党相似度

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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.
机译:分析了法国议会中由代表和政府成员发表的讲话,使用语料库这个词引起了个人之间的相似性,最后通过层次聚类对代表进行了分组。在分类任务上比较政治个体之间的相似性度量:为每个演员分配一个政党。最后,这种分析导致了代表的新组织,不仅与代表所代表的政党有关系,而且还与代表的反应主题和传递的信息息息相关。

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