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3.1 It Takes a Story to Catch a Fish3.2 From History to Code; 3.3 Approaching Penghu; 3.4 Penghu Epigraphies; 3.5 Penghu Epigraphies Under the Ming and Qing; 3.6 [abstract][ section.47.3.6UTF8bsm section.47.3.6[abstract], The Rising Sun, Penghu Under the Japanese; 3.7 Conclusion; 3.8 A Case for Digital Humanities; References; 4 Expressing Dynamic Maps Through Seventeenth-Century Taiwan Dutch Manuscripts; 4.1 Objectives and Rationale of Seventeenth-Century Dutch Formosa in the Project; 4.2 Manuscript Kercboek van Formosa: Mission History Goes Digital
Intro; Preface; Contents; Contributors; 1 Big Data in Computational Social Sciences and Humanities: An Introduction; 1.1 Big Data for Computational Social Sciences and Humanities in Practice; 1.1.1 Geographic Data; 1.1.2 Text Corpus Data; 1.1.2.1 History in Light of Dynamic Maps; 1.1.2.2 Economics Paradigm Shift in Light of Corpus Linguistics; 1.1.2.3 Financial Prediction in Light of Sentiment Analysis; 1.1.2.4 Network Modeling of Health-Related Concepts and Institutions; 1.1.2.5 Linguistic Complexity of Shakespeare Plays; 1.1.2.6 Evolution of "Language" in Light of Corpus Linguistics
1.1.3 Social Media Data1.1.3.1 Digital Governance Using Public Opinion Mining; 1.1.3.2 Grassroots Politics; 1.2 Survey and Challenges; 1.2.1 Survey of Published Research; 1.2.1.1 Big Data Finance; 1.2.1.2 Big Data in Psychology; 1.2.1.3 Spatial Humanities; 1.2.1.4 Cloud Computing; 1.2.2 Challenges of Using Big Data for Research; 1.2.2.1 Big Data Complexity; 1.2.2.2 Big Data Search; 1.2.2.3 Big Data Simulation; 1.2.2.4 Big Data Risks; 1.3 Conclusion and Outlook; References; Part I Practice
2 Application of Citizen Science and Volunteered Geographic Information (VGI): Tourism Development for Rural Communities2.1 Introduction; 2.2 Materials and Methods; 2.2.1 Study Site; 2.2.2 Volunteered Geographic Information (VGI); 2.2.3 Building a Web-Based GIS for Community Resource Management; 2.3 Results; 2.3.1 Community Resource Database; 2.3.2 Creating Virtual Tour Using Google Earth; 2.3.3 Establishing the Web-Based GIS Platform; 2.4 Discussion; 2.5 Conclusions and Recommendations; References; 3 Telling Stories Through R: Geo-Temporal Mappings of Epigraphic Practices on Penghu
4.3 Identifying Terms in Semi- and Unstructured Text4.4 Visualizing the Narrative with the Help of Faulkner; 4.5 Digital Exercise in Mobility; 4.6 (Fol. 38) 21 Session Chair Johannes Bavio, Clerk Simon Brenio, 26 July; 4.7 Generating a Scholarly Database; 4.8 Conclusion; References; 5 Has Homo economicus Evolved into Homo sapiens from 1992 to 2014: What Does Corpus Linguistics Say?; 5.1 Introduction; 5.2 Methods; 5.2.1 Building a General Economics Corpus; 5.2.2 Analyzing a Selected Word List Using WordSmith; 5.2.3 A Linear Regression Model to Analyze Word Frequencies
Intro; Preface; Contents; Contributors; 1 Big Data in Computational Social Sciences and Humanities: An Introduction; 1.1 Big Data for Computational Social Sciences and Humanities in Practice; 1.1.1 Geographic Data; 1.1.2 Text Corpus Data; 1.1.2.1 History in Light of Dynamic Maps; 1.1.2.2 Economics Paradigm Shift in Light of Corpus Linguistics; 1.1.2.3 Financial Prediction in Light of Sentiment Analysis; 1.1.2.4 Network Modeling of Health-Related Concepts and Institutions; 1.1.2.5 Linguistic Complexity of Shakespeare Plays; 1.1.2.6 Evolution of "Language" in Light of Corpus Linguistics
1.1.3 Social Media Data1.1.3.1 Digital Governance Using Public Opinion Mining; 1.1.3.2 Grassroots Politics; 1.2 Survey and Challenges; 1.2.1 Survey of Published Research; 1.2.1.1 Big Data Finance; 1.2.1.2 Big Data in Psychology; 1.2.1.3 Spatial Humanities; 1.2.1.4 Cloud Computing; 1.2.2 Challenges of Using Big Data for Research; 1.2.2.1 Big Data Complexity; 1.2.2.2 Big Data Search; 1.2.2.3 Big Data Simulation; 1.2.2.4 Big Data Risks; 1.3 Conclusion and Outlook; References; Part I Practice
2 Application of Citizen Science and Volunteered Geographic Information (VGI): Tourism Development for Rural Communities2.1 Introduction; 2.2 Materials and Methods; 2.2.1 Study Site; 2.2.2 Volunteered Geographic Information (VGI); 2.2.3 Building a Web-Based GIS for Community Resource Management; 2.3 Results; 2.3.1 Community Resource Database; 2.3.2 Creating Virtual Tour Using Google Earth; 2.3.3 Establishing the Web-Based GIS Platform; 2.4 Discussion; 2.5 Conclusions and Recommendations; References; 3 Telling Stories Through R: Geo-Temporal Mappings of Epigraphic Practices on Penghu
4.3 Identifying Terms in Semi- and Unstructured Text4.4 Visualizing the Narrative with the Help of Faulkner; 4.5 Digital Exercise in Mobility; 4.6 (Fol. 38) 21 Session Chair Johannes Bavio, Clerk Simon Brenio, 26 July; 4.7 Generating a Scholarly Database; 4.8 Conclusion; References; 5 Has Homo economicus Evolved into Homo sapiens from 1992 to 2014: What Does Corpus Linguistics Say?; 5.1 Introduction; 5.2 Methods; 5.2.1 Building a General Economics Corpus; 5.2.2 Analyzing a Selected Word List Using WordSmith; 5.2.3 A Linear Regression Model to Analyze Word Frequencies