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The Digital Humanities Technologies and Applications Project course at National Taiwan University's Graduate Institute of Linguistics merges digital technology with the humanities. Focusing on natural language processing (NLP) within textual data, it covers topics like ethics in automation, algorithmic biases, and digital conservation. Through lectures, seminars, and practical workshops, students gain skills in text mining, sentiment analysis, and applying NLP to linguistic data. The course emphasizes hands-on projects, encouraging interdisciplinary research and the practical application of digital humanities methods. Students will leave with a strong foundation in digital humanities, ready to contribute to academic and professional discussions on the integration of technology and humanistic studies.

The course has these core objectives and expected learning outcomes: 1. Digital Humanities Insight: Understand the integration and impact of digital technologies in humanistic studies, focusing on ethical and technical challenges. 2. NLP Techniques: Acquire practical skills in natural language processing (NLP) for textual analysis, including text mining and sentiment analysis. 3. Critical Thinking: Develop critical perspectives on digital technology's role in cultural preservation and historical research. 4. Interdisciplinary Collaboration: Participate in interdisciplinary projects, applying digital humanities approaches to linguistic data. 5. Communication Skills: Enhance abilities in presenting research findings effectively to academic and professional audiences. Upon completion, students will be prepared to contribute meaningfully to digital humanities discussions and projects.

1.每周課堂實作：針對每一周所授之自然語言處理方法進行主題式實際操作 2.全體共同完成期末專題大歷史模型 : 明代鹽商網絡與社會流動性研究 ◆學習目標：運用自然語言處理技術進行一項歷史專題研究 ◆實作重點：透過任務設計及文本分析技術，微調一個基於大語言模型 (LLM-based) 之古文預訓練模型以分析明代鹽商群體的社會網絡和社會社會關係

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