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• A way out of the crisis in economically underdeveloped and depressed regions by building an inclusive, local, green economy

  1-30

  Csaba Béres

  Views:

  38

  The pervasive process of globalisation means that any development project, whether focused on a large or small territorial unit, must take into account both international and domestic socio-economic trends, as these are decisive both in terms of the opportunities and the way in which they are exploited. This is particularly true of areas that are economically underdeveloped or areas that have been the base of heavy industry and are in decline as a result of economic restructuring, which have been hardest hit by the crisis. In this study, these are collectively referred to as disadvantaged areas. In order to address the growing territorial disparities after the change of regime, regional development policy has tried to provide various benefits to these lagging regions, and therefore laws have been passed to determine which areas can be included in the list of beneficiaries. Law No XXI of 1996 distinguished between socio-economically backward areas, areas affected by long-term unemployment, areas affected by industrial restructuring, and agricultural and rural development areas. According to Parliamentary Resolution 24/2001 (20.4.2001), the beneficiaries were: socio-economically backward areas, areas undergoing industrial restructuring, agricultural and rural development areas (RARDI).

• Classification of depression-related online forums using Natural Language Processing

  181-208.

  Mate Fanni

  Views:

  32

  The study of the phenomenon of depression is not new in sociology, but since the depression
  is becoming a wider social problem, it is still a relevant issue today. In addition to the biomedical and psychological aspects of depression, the sociological perspective is becoming more
  noteworthy in the discourse about the causes of depression. In the research of the discourse
  on depression, the online texts offer many new possibilities, as the forum’s anonymity and
  accessability make the online seeking for help popular. In this research, natural language
  processing (logistic regression) was applied to find patterns in the definition of depression
  in lay discourses. These methods make it possible to analyze a large amount of text - which
  would have been difficult to process with human resources. During the analysis, 67 857 posts of
  English-speaking online forums were categorized along the categories of the scientific discourse
  about depression. This study presents the first results, which shows logistic regression classifier
  performs like the annotators. . Although the research has analyzed English-speaking forums, my
  findings may be useful to anyone observing abstract sociological concepts in online texts written
  by users.