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Titlebook: Big Data in Computational Social Science and Humanities; Shu-Heng Chen Book 2018 Springer International Publishing AG, part of Springer Na

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https://doi.org/10.1007/978-3-030-52784-6rts. In the first part, we review works incorporating the three most frequently seen types of big data, namely geographic data, text corpus data, and social media data, that are used to conduct research on the social sciences in a wide range of fields, including anthropology, economics, finance, geo
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Properties of the solution map,nformation has become much more efficient and cost effective than before. As a result, many researchers deem that data collected by volunteers with little training can be used for scientific researches if carefully designed quality assurance process is performed. In this chapter, we introduce the ap
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Linear differential difference equations,hat shaped a century of epigraphic practices on Penghu and Taiwan and that has the potential to help us understanding the nature of social practices, their emergence, transformation, and conceptualization as tradition. We show to what extent the geological and climatic conditions of a site shape the
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Introduction to Fuzzy Logic using MATLABuscripts which document the presence of the Dutch community in Taiwan and are indispensable for our understanding of Taiwan history in a global setting. The case study for this exercise is the digitalized version of the Church Minutes (Kercboek) of the manuscript . in Dutch and English translation.
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https://doi.org/10.1007/978-3-540-35781-0rences of the Parties) as well as taken into account into other conventions (CMS, the Convention on the Conservation of Migratory Species or CITES, Convention on International Trade in Endangered Species). From a biodiversity perspective, Health thematic encompasses dimensions of human health, anima
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Introduction to Fuzzy Logic using MATLABerformed commercially for modern audiences may be classified as entertainment, but in terms of CLT, the spoken words and actions on stage may be classified as signals, and are therefore subject to analysis. This paper uses a tool to quantify the linguistic complexity (LC) of the spoken text of each
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Introduction to Fuzzy Logic using MATLABsers in social–cultural contexts in homogeneous or heterogeneous language communities. In this chapter, the rationale and tenets of the corpus-driven paradigm are introduced. Then, three areas of studies of linguistic patterns and cognition based on digitized corpus data collected from different lan
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Introduction to Fuzzy Logic using MATLABed through Facebook. Compared with studies concerning relationships between Facebook and political-social life, this study focuses on influence of a group of fan pages serving a social movement. We propose a data-driven approach based on the analysis of digital footprints; visualization tools applie
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