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Social sciences via network analysis and computation

Tadej Kanduc

In recent years information and communication technologies have gained significant importance in the social sciences. Because there is such rapid growth of knowledge, methods and computer infrastructure, research can now seamlessly connect interdisciplinary fields such as business process management, data processing and mathematics. This study presents some of the latest results, practices and state-of-the-art approaches in network analysis, machine learning, data mining, data clustering and classifications in the contents of social sciences. It also covers various real-life examples such as the analysis of web sentiments, interconnections of methods for text recognition, text analysis and segmentation, information system management and decision support approaches in marketing.
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Table of Contents



Text analysis and computations

Bučar/Povh/DobrovoljcWeb Clipping and Sentiment Analysis of Slovenian news articles

Barišić/BučarMachine Learning in Classification of News Portal Articles

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