本課程旨在介紹如何運用數位化文本作為政治學研究的資料來源。學生將學習如何透過撰寫 Python 程式與其他統計軟體，進行資料的擷取、分析與建模。

本課程將介紹運用電腦化文字分析研究政治的最新發展，內容涵蓋從文本前期處理到結果詮釋的各種常見實證分析方法。修完本課後，學生將熟悉並備使用 Python 程式語言的能力。

此外，學生也將能深入理解這些工具如何促進政治學研究的產出，並能運用這些技能進行自己的研究。選修本課程無需任何程式設計的先備知識。

請注意：由於學習狀況與進度難以預先掌握，本課程大綱僅為暫定的時間參考。指定閱讀內容可能會提前或延後。此外，本課程也會不定期建議學生閱讀一些學術期刊文章，這些文章中包含本課程所介紹方法的實際應用範例。本課程將以中文授課。

This course aims to introduce how to use digital texts as sources for political science research. Students will learn how to capture, analyze, and model data by writing Python programs and other statistical software.

This course will introduce the latest developments in using computerized text analysis to study politics, covering various common empirical analysis methods from text pre-processing to result interpretation. After completing this course, students will be familiar with and have the ability to use the Python programming language.

In addition, students will gain an in-depth understanding of how these tools contribute to political science research output and be able to apply these skills in their own research. No prior knowledge of programming is required to take this course.

Please note: Since the learning status and progress are difficult to predict in advance, this course outline is only a tentative time reference. Assigned readings may be made earlier or later. In addition, this course will occasionally recommend students to read some academic journal articles that contain practical application examples of the methods introduced in this course. This course will be taught in Chinese.

Summerfield, M. (2010). Programming in Python 3: A complete introduction to the Python language (2nd ed.). Addison-Wesley.

Bengfort, B., Bilbro, R., & Ojeda, T. (2018). Applied text analysis with Python: Enabling language-aware data products with machine learning. O'Reilly Media.

Summerfield, M. (2010). Programming in Python 3: A complete introduction to the Python language (2nd ed.). Addison-Wesley.

Bengfort, B., Bilbro, R., & Ojeda, T. (2018). Applied text analysis with Python: Enabling language-aware data products with machine learning. O'Reilly Media.