RESUMEN
We developed a method that can identify polarized public opinions by finding modules in a network of statistically related free word associations. Associations to the cue "migrant" were collected from two independent and comprehensive samples in Hungary (N1 = 505, N2 = 505). The co-occurrence-based relations of the free word associations reflected emotional similarity, and the modules of the association network were validated with well-established measures. The positive pole of the associations was gathered around the concept of "Refugees" who need help, whereas the negative pole associated asylum seekers with "Violence." The results were relatively consistent in the two independent samples. We demonstrated that analyzing the modular organization of association networks can be a tool for identifying the most important dimensions of public opinion about a relevant social issue without using predefined constructs.
Asunto(s)
Procesamiento Automatizado de Datos/métodos , Asociación Libre , Opinión Pública , Humanos , RefugiadosRESUMEN
This paper presents our research results obtained within the Cost Effective Health Preservation Consortium Project to apply three different information retrieval techniques to brain computer tomography (CT) image and report retrieval in order to satisfy different information needs. The results are materialised in the NeuRadIR (neuroradiological information retrieval) system, which enables physicians to use medical text and image databases, related to human brain CT, over the Web in order to support diagnosis and patient care. After describing briefly the approaches in image retrieval, the applied retrieval methods are presented. This is followed by the description of the NeuRadIR system. Evaluation results are also reported and discussed.
Asunto(s)
Encéfalo/diagnóstico por imagen , Almacenamiento y Recuperación de la Información , Internet , Humanos , Tomografía Computarizada por Rayos X , Interfaz Usuario-ComputadorRESUMEN
A Cellular Neural Network based image processing system and a system based on Interaction Information Retrieval which are basic elements of a stroke teleconsultation system with most recent applications are introduced in this paper. Both of them are novel approaches in the image processing and information retrieval fields.