TY - GEN
T1 - The Intersection of Big Data Analytics and Digital Humanities
T2 - 8th International Conference on Inventive Communication and Computational Technologies, ICICCT 2024
AU - Vargas-Murillo, Alfonso Renato
AU - Sotelo-Calderon, Abel Fernando
AU - Zegarra, J. L.G.
AU - Zegarra-Ponce, Luis Roberto
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - This systematic literature review explores the intersection of big data analytics and digital humanities, focusing on definitions, applications, and challenges. By analyzing 37 relevant studies, the review found that big data in the humanities refers to the computational analysis of large volumes of digitized cultural data, while digital humanities integrates digital tools and methods into humanistic research. The literature reveals a wide range of applications, including text mining, network analysis, and machine learning, which enable new forms of inquiry and insight. However, challenges such as data complexity, methodological tensions, and skills gaps are also highlighted. The review concludes that big data methods have the potential to transform humanities research when used critically and in collaboration with humanistic expertise, requiring further research to develop robust methodologies and interdisciplinary collaborations.
AB - This systematic literature review explores the intersection of big data analytics and digital humanities, focusing on definitions, applications, and challenges. By analyzing 37 relevant studies, the review found that big data in the humanities refers to the computational analysis of large volumes of digitized cultural data, while digital humanities integrates digital tools and methods into humanistic research. The literature reveals a wide range of applications, including text mining, network analysis, and machine learning, which enable new forms of inquiry and insight. However, challenges such as data complexity, methodological tensions, and skills gaps are also highlighted. The review concludes that big data methods have the potential to transform humanities research when used critically and in collaboration with humanistic expertise, requiring further research to develop robust methodologies and interdisciplinary collaborations.
KW - Big data analytics
KW - Computational methods
KW - Data visualization
KW - Digital humanities
KW - Humanities computing
KW - Text mining
UR - https://www.scopus.com/pages/publications/85213377040
U2 - 10.1007/978-981-97-7710-5_57
DO - 10.1007/978-981-97-7710-5_57
M3 - Conference contribution
AN - SCOPUS:85213377040
SN - 9789819777099
T3 - Lecture Notes in Networks and Systems
SP - 749
EP - 757
BT - Inventive Communication and Computational Technologies - Proceedings of ICICCT 2024
A2 - Ranganathan, G.
A2 - Papakostas, George A.
A2 - Shi, Yong
Y2 - 14 June 2024 through 15 June 2024
ER -