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Special Issue
Dear colleagues,
This special issue focuses on the innovative applications of big data within the realm of digital humanities, specifically in the fields of history, literature, and art. As the volume and complexity of available data continue to grow, researchers are increasingly leveraging advanced computational tools to gain new insights and enhance traditional methods of analysis. By bringing together diverse perspectives and methodologies, this special issue aims to foster interdisciplinary collaboration and advance the understanding of how big data is reshaping research in the humanities. Scholars, practitioners, and technologists are invited to contribute their findings and explore the transformative potential of big data in enhancing our knowledge of history, literature, and art. It including but not limited to the following topics:
Big Data
Digital Humanities
Historical Data Analysis
Textual Analysis
Network Analysis
Data Mining
Cultural Analytics
Digital Archives
Quantitative Literary Studies
Visualization Techniques
Machine Learning in Humanities
Corpus Linguistics
Spatial Humanities
Digitization of Artworks
Interdisciplinary Approaches
Authors should submit their manuscripts for the special issue by emailing them as an attachment to specialissue@hillpublish.com or by using the online submission system. The manuscript should be submitted by one of the authors, and submissions by anyone other than the authors will not be accepted. Additionally, the submitted manuscript should include a cover letter that specifies the special issue to which the manuscript is being submitted.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). The submitted papers should be properly formatted and written in fluent English. All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Guidelines page.
December 31, 2024