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Humanities Data Analysis

tools. Humanities Data Analysis offers the first intermediate-level guide to quantitative data analysis for humanities students and scholars;

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Humanities Data In R

, and the humanities and social sciences. Humanities Data with R does not presuppose background programming experience. Early chapters take;

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Scientometrics for the Humanities and Social Sciences

of both quantitative and qualitative data analysis in scientometric studies. It focuses on its applicability in new and emerging areas of inquiry;

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Scientometrics for the Humanities and Social Sciences

of both quantitative and qualitative data analysis in scientometric studies. It focuses on its applicability in new and emerging areas of inquiry;

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The Value of the Humanities in Higher Education

This book presents an extensive analysis of the multifaceted benefits that higher education in the humanities offers individuals and;

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Data Analytics in Digital Humanities

analysis, data visualizations, and data presentation. It explores how digital humanists have harnessed the hypersociality and social technologies;

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Multivariate Humanities

This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory;

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Multivariate Humanities

This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory;

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Big Data in the Arts and Humanities: Theory and Practice

humanities, however, the notion of big data is still in its embryonic stage, and only in the last few years, have arts and cultural organizations and;

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Using Arts-Based Research Methods: Creative Approaches for Researching Business, Organisation and Humanities

design and data collection to analysis and publication. Using Arts-based Research Methods is a unique resource for experienced researchers and;

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The Digital Humanities Coursebook

integrate the acquisition of expertise in data, metadata, classification, interface, visualization, network analysis, topic modeling, data mining;

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The Digital Humanities Coursebook

integrate the acquisition of expertise in data, metadata, classification, interface, visualization, network analysis, topic modeling, data mining;

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Research Methods for Creating and Curating Data in the Digital Humanities

The first volume to focus on digitising and curating data online as research methods for Digital Humanities. In presenting their own;

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The Power of Networks

of quantitative network analysis in cultural, economic, social or political history or religious studies, to novel approaches in the Digital Humanities;

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The Power of Networks

of quantitative network analysis in cultural, economic, social or political history or religious studies, to novel approaches in the Digital Humanities;

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A Humanities Approach to the Psychology of Personhood

report aggregated data and its analysis. Contributors to this volume are leading scholars in theoretical psychology who believe that;

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Qualitative Analysis in the Making

How do scholars transform qualitative data into analysis? What does making analysis imply? What happens in the space in-between data and;

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The Digital Arts and Humanities

The case studies in this book illuminate how arts and humanities tropes can aid in contextualizing Digital Arts and Humanities;

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Big Data

outlook - already well known in the social sciences and the humanities - to convey intelligible results from data analysis algorithms and create;

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Managing Digital Cultural Objects: Analysis, Discovery and Retrieval

ubiquitous and mobile Web. Key topics covered include: Managing, searching and finding digital cultural objects Data modelling for analysis;

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Quantitative Methods in the Humanities

sciences-especially for those who do not think of themselves as experts in quantification, big data, or digital humanities. The authors;

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Quantitative Methods in the Humanities

sciences-especially for those who do not think of themselves as experts in quantification, big data, or digital humanities. The authors;

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Visualization and Interpretation

presents a series of standard problems in visualization for the humanities (including time/temporality, space/spatial relations, and data analysis;

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Big Data, Little Data, No Data

An examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social;

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Spatial Synthesis

science and humanities research has shifted from a data-scarce to a data-rich environment. The chapters also describe how a powerful analytical;

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Tracing the Life Cycle of Ideas in the Humanities and Social Sciences

the life cycle of scientific ideas. Textual data retrieved from large corpora pose interesting challenges for any data analysis method and;

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Tracing the Life Cycle of Ideas in the Humanities and Social Sciences

the life cycle of scientific ideas. Textual data retrieved from large corpora pose interesting challenges for any data analysis method;

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