{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T17:32:00Z","timestamp":1767720720807,"version":"3.48.0"},"reference-count":53,"publisher":"Emerald","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,1,8]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>This study aims to develop an associative text analyzer (ATA) to support users in quickly grasping and interpreting the content of large amounts of text through text association recommendations, facilitating the identification of the contextual relationships between people, events, organization and locations for digital humanities. Additionally, by providing text summaries, the tool allows users to link between distant and close readings, thereby enabling more efficient exploration of related texts.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design\/methodology\/approach<\/jats:title>\n                    <jats:p>To verify the effectiveness of this tool in supporting exploration of historical texts, this study uses a counterbalanced design to compare the use of the digital humanities platform for Mr. Lo Chia-Lun\u2019s Writings (DHP-LCLW) with and without the ATA to assist in exploring different aspects of text. The study investigated whether there were significant differences in effectiveness for exploring textual contexts and technological acceptance as well as used semi-structured in-depth interviews to understand the research participants\u2019 viewpoints and experiences with the ATA.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Findings<\/jats:title>\n                    <jats:p>The results of the experiment revealed that the effectiveness of text exploration using the DHP-LCLW with and without the ATA varied significantly depending on the topic of the text being explored. The DHP-LCLW with the ATA was found to be more suitable for exploring historical texts, while the DHP-LCLW without the ATA was more suitable for exploring educational texts. The DHP-LCLW with the DHP-LCLW was found to be significantly more useful in terms of perceived usefulness than the DHP-LCLW without the ATA, indicating that the research participants believed the ATA was more effective in helping them efficiently grasp the related texts and topics during text exploration.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Practical implications<\/jats:title>\n                    <jats:p>The study\u2019s practical implications lie in the development of an ATA for digital humanities, offering a valuable tool for efficiently exploring historical texts. The ATA enhances users\u2019 ability to grasp and interpret large volumes of text, facilitating contextual relationship identification. Its practical utility is evident in the improved effectiveness of text exploration, particularly for historical content, as indicated by users\u2019 perceived usefulness.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Originality\/value<\/jats:title>\n                    <jats:p>This study proposes an ATA for digital humanities, enhancing text exploration by offering association recommendations and efficient linking between distant and close readings. The study contributes by providing a specialized tool and demonstrating its perceived usefulness in facilitating efficient exploration of related texts in digital humanities.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1108\/ajim-01-2024-0014","type":"journal-article","created":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T01:29:29Z","timestamp":1723080569000},"page":"93-119","source":"Crossref","is-referenced-by-count":1,"title":["An associative text analyzer to\u00a0facilitate effectiveness of exploring historical texts for digital humanities"],"prefix":"10.1108","volume":"78","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7088-5516","authenticated-orcid":true,"given":"Chih-Ming","family":"Chen","sequence":"first","affiliation":[{"name":"Graduate Institute of Library, Information and Archival Studies, National Chengchi University , ,","place":["Taipei City, Taiwan"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xian-Xu","family":"Chen","sequence":"additional","affiliation":[{"name":"Graduate Institute of Library, Information and Archival Studies, National Chengchi University , ,","place":["Taipei City, Taiwan"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","published-online":{"date-parts":[[2024,8,8]]},"reference":[{"key":"2026010612275589800_ref001","doi-asserted-by":"publisher","first-page":"722","DOI":"10.1007\/978-3-540-76298-0_52","article-title":"DBpedia: a nucleus for a web of open data","author":"Auer","year":"2007"},{"key":"2026010612275589800_ref002","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1007\/978-3-642-30284-8_21","volume-title":"The Semantic Web: Research and Applications","author":"Augenstein","year":"2012"},{"key":"2026010612275589800_ref003","first-page":"1","article-title":"A comparative analysis of text similarity measures and algorithms in research paper recommender systems","author":"Benard Magara","year":"2018"},{"key":"2026010612275589800_ref004","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.is.2018.02.009","article-title":"Computing inter-document similarity with context semantic analysis","volume":"80","author":"Benedetti","year":"2019","journal-title":"Information Systems"},{"volume-title":"Designing Interactive Systems: People, Activities, Contexts, Technologies","year":"2005","author":"Benyon","key":"2026010612275589800_ref005"},{"key":"2026010612275589800_ref006","unstructured":"Berners-Lee, T.\n           (2006), \u201cLinked data - 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