Social sciences via network analysis and computation.
Title:
Social sciences via network analysis and computation.
Author:
Kanduc, Tadej.
ISBN:
9783653058208
Personal Author:
Edition:
0
Physical Description:
1 online resource (129 pages)
Contents:
Cover -- Table of contents -- Preface -- Text analysis and computations -- Web Clipping and Sentiment Analysis of Slovenian news articles (Jože Bučar, Janez Povh, Andrej Dobrovoljc) -- Machine Learning in Classification of News Portal Articles (Renato Barišić, Jože Bučar) -- Network Motifs Analysis of Croatian Literature (Hana Rizvić, Sanda Martinčić-Ipšić, Ana Meštrović) -- Toward Network-based Keyword Extraction from Multitopic Web Documents (Sabina Šišović, Sanda Martinčić-Ipšić, Ana Meštrović) -- Implementations of methods in practice -- Automatic invoice capture in small and medium-sized Slovenian enterprises . project report (Darko Zelenika, Andrej Dobrovoljc, Robert Pezdirc, Helena Novosel, Simon Kegljevič, Janez Povh, Bernard Ženko) -- Information System Mirror - Approach How to Analyze Information System Strengths and Weaknesses within Organization (Boštjan Delak) -- Comparison of SAS/STAT Procedures and Variable Neighborhood Search Based Clustering Applied on Telekom Serbia Data (Stefana Janicijevic, Dragan Urosevic, Nenad Mladenovic) -- Theoretical results on networks and methods -- Measuring Classification-Tree Comprehensibility (Rok Piltaver1, Mitja Luštrek, Matjaž Gams, Sanda Martinčić-Ipšić) -- On vertex-parity and weak vertex-parity edge-colorings (Borut Lužar, Mirko Petruševski, Riste Škrekovski) -- Diameter on some classes of fullerene graphs (Vesna Andova, František Kardoš, Riste Škrekovski).
Abstract:
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.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Genre:
Electronic Access:
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