This paper presents an application for extracting features used in the process of education of politicians based on Open Source technologies, for extracting features from the public press; it enables the user to analyze data from text files and from the Internet. The analyzed data are from the field of politics, a topic which is both a current one and a cyclic process, occurring every four years for the parliamentary elections and every five years for the presidential elections. A specific political vocabulary was compiled for feature identification and analysis and for the interpretation of results obtained.
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