Exploring the digital humanities research agenda: a text mining approach

Abstract

PurposeThis study aims to explore knowledge structure and research trends in the domain of digital humanities (DH) in the recent decade. The study identified prevailing topics and then, analyzed trends of such topics over time in the DH field.Design/methodology/approachResearch bibliographic data in the area of DH were collected from scholarly databases. Multiple text mining techniques were used to identify prevailing research topics and trends, such as keyword co-occurrences, bigram analysis, structural topic models and bi-term topic models.FindingsTerm-level analysis revealed that cultural heritage, geographic information, semantic web, linked data and digital media were among the most popular topics in the recent decade. Structural topic models identified that linked open data, text mining, semantic web and ontology, text digitization and social network analysis received increased attention in the DH field.Originality/valueThis study applied existent text mining techniques to understand the research domain in DH. The study collected a large set of bibliographic text, representing the area of DH from multiple academic databases and explored research trends based on structural topic models.

Digital humanities practice in university libraries of Bangladesh

“…They started with handwritten concordances but then delegated them to computer operations to develop machine-produced concordances (Krämer, 2023). But the majority of humanists think that Father Roberto Busa, an Italian Jesuit priest, was an early pioneer in humanities computing despite the fact that the field has been hotly debated and is now expanding swiftly (Joo et al , 2022). A new area of study known as “digital humanities” has emerged as a result of humanities experts now considering using databases and digital tools in their research.…”

“…A platform often has to include tools for digital reading, information retrieval, word frequency analysis and text exploration to enable DH to study effectively (Chen et al , 2022). Joo et al (2022) explored the area of DH using a variety of bibliometrics methodologies, including co-authorship analysis, co-citation analysis and bibliographic coupling. Humanities resource management and storage techniques have evolved as a result of new information technologies, moving from databases with scanned images and associated metadata for information retrieval systems to DH databases.…”

“…Information technologies, including text mining, social network analysis, spatial analysis, data visualization and machine learning are frequently used in digital humanities (DH) research based on enormous amounts of data (Gao et al , 2022). DH represents a new, expanding current of interdisciplinary intellectual research activity that is being conducted in response to various study difficulties and issues in the humanities (Joo et al , 2022). Many university libraries are currently using DH to speed up the research processes of researchers in the social sciences and humanities.…”

Gender influences in Digital Humanities co-authorship networks

“…This paper explores these questions through the microcosm of Digital Humanities (DH), an emerging field that is closely intertwined with Information Science (Bawden and Robinson, 2012, p. 7; Joo et al. , 2021; Su and Zhang, 2021).…”

“…This paper explores these questions through the microcosm of Digital Humanities (DH), an emerging field that is closely intertwined with Information Science (Bawden and Robinson, 2012, p. 7;Joo et al, 2021;Su and Zhang, 2021). Digital Humanities offers an important case study on which to conduct this research because of its "small-world" composition (Wang and Inaba, 2009;Grandjean, 2016;Tang et al, 2017), its demographic formation (as a predominately white male-oriented community, Weingart and Eichmann-Kalwara, 2017;Gao et al, 2018), and its geographical distribution of languages (forming an Anglophone-oriented network as shown in studies by De la Cruz et al, 2015;Weingart and Eichmann-Kalwara, 2017;Gao et al, 2018).…”