Extracting Features from the On-Line News for Making Templates Used in the Process of Educating the Next Generation of Politicians

  • Author: Marius Cioca
  • Institution: Lucian Blaga” University of Sibiu, Romania
  • Author: Lucian-Ionel Cioca
  • Institution: “Lucian Blaga” University of Sibiu, Romania
  • Author: Cosmin Cioranu
  • Institution: UEFISCDI, Bucharest, Romania
  • Author: Daniela Gifu
  • Institution: “A. I. Cuza” University of Iasi, Iasi, Romania
  • Year of publication: 2013
  • Source: Show
  • Pages: 275-287
  • DOI Address: https://doi.org/10.15804/tner.13.32.2.23
  • PDF: tner/201302/tner3223.pdf

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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political domain open source text classification analysis

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