| dc.contributor | 圖檔所 | |
| dc.creator (作者) | 陳志銘 | |
| dc.creator (作者) | Chang, Tien-Fu;Li, Ming-Chaun;Chen, Chih-Ming;Chen, Xian-Xu | |
| dc.date (日期) | 2024-07 | |
| dc.date.accessioned | 26-Dec-2024 11:25:57 (UTC+8) | - |
| dc.date.available | 26-Dec-2024 11:25:57 (UTC+8) | - |
| dc.date.issued (上傳時間) | 26-Dec-2024 11:25:57 (UTC+8) | - |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/154810 | - |
| dc.description.abstract (摘要) | This study aims to develop an associative text analyzer (ATA) to support humanists 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 humanists to link between distant and close readings, thereby enabling more efficient exploration of related texts. 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's Writings (DHP-LCLW) with and without the ATA to assist in exploring different topics of text. 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 ATA was perceived to be significantly more useful 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. | |
| dc.format.extent | 112 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | The 18th International Conference on E-Service and Knowledge Management, International Institute of Applied Informatics | |
| dc.subject (關鍵詞) | Digital humanities; ; Text association; Linked data; Text recommendation; Distant reading | |
| dc.title (題名) | A Tool for Associative Text Analysis to Enhance Efficiency in Exploring Hstorical Texts | |
| dc.type (資料類型) | conference | |
| dc.identifier.doi (DOI) | 10.1109/IIAI-AAI63651.2024.00015 | |
| dc.doi.uri (DOI) | https://doi.org/10.1109/IIAI-AAI63651.2024.00015 | |
