A Research Toolbox: A Complete Suite for Analysis in Digital Humanities

Luca, Ernesto William De; Fallucchi, Francesca; Ligi, Alessandro; Tarquini, Massimiliano

doi:10.1007/978-3-030-36599-8_35

Cited by 7 publications

(6 citation statements)

References 7 publications

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“…In addition, natural language processing (NLP) and topic modeling have been used as popular tools in DH in recent years (e.g. Navarro-Colorado, 2018; De Luca, 2019). From the trends of bigrams over the three periods, we observed emerging sub-areas and topics in DH.…”

Section: Discussionmentioning

confidence: 99%

Exploring the digital humanities research agenda: a text mining approach

Joo

Hootman

Katsurai

2021

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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.

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Section: Discussionmentioning

confidence: 99%

Exploring the digital humanities research agenda: a text mining approach

Joo

Hootman

Katsurai

2021

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“…Busa wrote the foreword to A companion to digital humanities which formally introduced the term “digital humanities” (Brandeis Library, 2012). Since then, there have been varied ways of defining DH ( De Luca et al ., 2019). From John Unsworth to Julia Flanders, or from Ernesto Priego to Ed Finn, the bottom line is that, DH define the overlap between humanities research and digital tools.…”

Section: Related Researchmentioning

confidence: 99%

“…In the following the importance of supporting research with codes and categories in quantitative and qualitative analysis is emphasized. For this purpose, two different tools (MAXQDA and DiaCollo) have been considered in order to recognize characteristics, which are relevant for textbook analysis and are not yet included in common software programs, which led to the implementation and development of the Edumeres Toolbox (De Luca et al ., 2019, 2022), based on the digital transformation processes discussed with different inter-disciplinary researchers (De Luca and Spielhaus, 2019).…”

Section: Digital Humanities and The Challenges Of Interdisciplinary R...mentioning

confidence: 99%

The digital transformation processes for supporting digital humanities researchers in text analysis

De Luca,

Fallucchi,

Ghattas

et al. 2023

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PurposeThis article aims to explore how the mapping strategies between user requirements expressed by the humanities researchers lead to a better customization of user-driven digital humanities tools and to the creation of innovative functionalities, which can directly affect the way of doing research in a digital context.Design/methodology/approachIt describes the user-driven development of a tool that helps researchers in the quantitative and qualitative analysis of large textbook collections.FindingsThis article presents an exemplary user journey map, which shows the different steps of the digital transformation process and how the humanities researchers are involved for (1) producing innovative research solutions, comprehensive and personalized reports, and (2) customizing access to content data used for the analysis of digital documents. The article is based on a case study on a German textbooks collection and content analysis functionalities.Originality/valueThe focus of this article is the reiterative research process, in which humanists (from the human centred point of view) starts from an initial research question, using quantitative and qualitative data and develops both the research question and the answers to it by with the aim to find patterns in the content and structure of educational media. Thus, from the viewpoint of digital transformation the humanist is part of the interaction between digitization and digitalization processes, where he/she uses digital data, metadata, reports and findings created and supported by the digital tools for research analysis.

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“…Until now, categorization of library books has mostly been undertaken manually using one of these standards. We had, in a previous work [8], also created a complete suite for analysis in digital humanities that allows managing metadata. However, the accuracy of manual classification depends on the librarian's vast knowledge base of various subjects and disciplines.…”

Section: Introductionmentioning

confidence: 99%

Teaching an Algorithm How to Catalog a Book

2021

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This paper presents a study of a strategy for automated cataloging within an OPAC or for online bibliographic catalogs generally. The aim of the analysis is to offer a set of results, while searching in library catalogs, that goes further than the expected one-to-one term correspondence. The goal is to understand how ontological structures can affect query search results. This analysis can also be applied to search functions other than in the library context, but in this case, cataloging relies on predefined rules and noncontrolled dictionary terms, which means that the results are meaningful in terms of knowledge organization. The approach was tested on an Edisco database, and we measured the system’s ability to detect whether a new incoming record belonged to a specific set of textbooks.

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A Research Toolbox: A Complete Suite for Analysis in Digital Humanities

Cited by 7 publications

References 7 publications

Exploring the digital humanities research agenda: a text mining approach

Exploring the digital humanities research agenda: a text mining approach

The digital transformation processes for supporting digital humanities researchers in text analysis

Teaching an Algorithm How to Catalog a Book

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