| |
第一週Introduction
授課教師：廖達琪教授、黃三益教授
Activities:
(1)課程介紹：課程設計、課程目標、課程要求、課程進行方式。
(2)導論：政治與資訊的聯結
References:
(1)姜新立、張錦隆主編，2010。《政治與資訊的交鋒》，台北：揚智。第一章。(圖B2 312.07 8753 2010)
(2)張錦隆、孫以清主編，2006。《政治與資訊的對話》，台北：揚智。第一篇。
(3)廖達琪，2007，〈政治學與資訊科技的整合〉，李炳南主編《邁向科際整合的政治學研究》，台北：揚智。第七章。
(4)梁定澎主編，2014。《電子商務與網路社會新境界》，高雄：中山大學電子商務研究中心。
(5)梁定澎主編，2016。《電子商務與網路社會新境界》，高雄：中山大學電子商務研究中心。
(6)James Gleick, 賴盈滿譯，2016。《資訊：一段歷史、一個理論、一股洪流》(The Information, A History, A Theory, A Flood.)新北：衛城。
(7)King, G. 2014. “Restructuring the Social Sciences: Reflections from Harward’s Institute for Quantitative Social Science.” PS: Political Science & Politics 47(1): 165-172.
第二週Information in Political Science
�� 授課教師：廖達琪教授、黃三益教授
�� Activities:
1. Please revisit the meaning of information
2. Please deduct the function of information in political science from readings
�� References:
1. Downs, Anthony. 1957. An Economic Theory of Democracy. Part III.
2. Converse, P. E., 1985. “Power and the Monopoly of Information.” American Political Science Review 79(1): 1–9.
3. Krehbiel, Keith. 1991. Informaiton and Legislative Organization. Pp. 61-192.
4. Edelman, Murray. 1977. Political Language: Words that Succeed and Policies that Fail. New York: Academic Press. Pp. 23-41 and 103-118. (7F HM291 E33)
5. Huckfeldt, Robert & Sprague, John, 1987. “Networks in Context: Social Flow of Political Information.” APSR 81(4): 1197-216.
6. Liao, Da chi. 1990. The Influence of Culture on Information Gathering in Organizations: An Authoritarian Paradigm. Pp. 1-17.
第三週 R翻轉教室自學方案與資料分析技巧介紹
�� 授課教師：蔡芸琤助理教授（親自授課）、廖達琪教授、黃三益教授
�� Activities:
1. 介紹R軟體、自學方案與資料分析之基本技巧。
�� References:
1. R語言翻轉教室http://datascienceandr.org
2. 範例程式與學生作業https://github.com/NTU-CSX-datascience
第四週 基礎R語法自學
�� 授課教師：蔡芸琤助理教授（網路授課）、廖達琪教授、黃三益教授
�� Activities:
1. 於課堂觀看指定網路課程與影片，並於課後完成相關指定作業。
�� References:
1. R語言翻轉教室http://datascienceandr.org
2. 範例程式與學生作業https://github.com/NTU-CSX-datascience
第五週 基礎R語法自學
�� 授課教師：蔡芸琤助理教授（網路授課）、廖達琪教授、黃三益教授
�� Activities:
1. 於課堂觀看指定網路課程與影片，並於課後完成相關指定作業。
�� References:
1. R語言翻轉教室http://datascienceandr.org
2. 範例程式與學生作業https://github.com/NTU-CSX-datascience
第六週 使用R進行臉書資料與分析
�� 授課教師：蔡芸琤助理教授（親自授課）、廖達琪教授、黃三益教授
�� Activities:
1. 研究案例由廖達琪老師及蔡芸琤老師共同指定。
2. 根據老師指定之題目，同學須使用Rfacebook抓取並分析資料，並做為期中報告。
�� References:
1. R語言翻轉教室http://datascienceandr.org
2. 範例程式與學生作業https://github.com/NTU-CSX-datascience
第七週 準備 Rfacebook 期中研究報告
第八週 R facebook 複習與總結
�� 授課教師：蔡芸琤助理教授、廖達琪教授、黃三益教授
�� Activities:
1. R facebook作業繳交與討論
�� References:
1. R語言翻轉教室http://datascienceandr.org
2. 範例程式與學生作業https://github.com/NTU-CSX-datascience
第九週ICT as a tool in Political Analysis – Example Discussion (I)
�� 授課教師：廖達琪教授、黃三益教授
�� Activities:
1. Carefully read the assigned paper.
2. Please pay attention to how the text mining methods are used in each paper.
�� References:
1. Shaw & Benkler, 2012. “A Tale of Two Blogospheres: Discursive Practices on the Left and Right.” American Behavioral Scientist, 56(4): 459-87.
2. 施百俊等，2006，〈以文字探勘技術探究部落格之網路媒體特性〉，《淡江人文社會學刊》，第28期，頁95-122。
3. Hopkins, Daniel J., and Gary King, 2010. “A Method of Automated Nonparametric Content Analysis for Social Science.” AJPS 54(1): 229-247.
4. Junque’de Fortuny, et al., 2012. “Media Coverage in Times of Political Crisis: A Text Mining Approach.” Expert Systems with Applications 39(14): 11616-11622.
5. Leetaru, Kaleu Hannes, 2012. Data Mining Methods for the Content Analyst: An Introduction to the Computational Analysis of Content. New York: Routledge.
6. Barley, S.R., 1983. “Semiotics and the Study of Occupational and Organizational Cultures.” ASQ 28(3): 393-413.
7. Lucas, CN, et al. 2015. “Computer-Assisted Text Analysis for Comparative Politics.” Political Analysis 23(2): 254-277.
8. Grimmer, J., & Stewart, B. M. 2013. Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts. Political Analysis, mps028. https://doi.org/10.1093/pan/mps028
9. Evans. 2016. Machine Translation: Mining Text for Social Theory.
第十週ICT as a Tool in Political Analysis – Example Discussions (II)
�� 授課教師：廖達琪教授、黃三益教授
�� Activities:
1. Carefully read the assigned paper.
2. Please pay attention to how the text mining methods are used in each paper.
�� References:
1. Arguello, Jaime, et al., 2008. “Recognizing Citations in Public Comments.” Journal of Information Technology & Politics 5(1): 49-71.
2. Klebanov, Beata Beigman, et al., 2008. “Automatic Annotation of Semantic Fields for Political Science Research.” Journal of Information Technology & Politics 5(1): 95-120.
3. Demiros, Iason, et al., 2008. “Media Monitoring by Means of Speech and Language Indexing for Political Analysis.” Journal of Information Technology & Politics 5(1): 133-146.
4. Kluver, Randolph, eds., 2007. The Internet and National Elections: A Comparative Study of Web Campaigning. In 2008. “Book Review.” Journal of Information Technology & Politics 5(1): 147-148.
5. Atteveldt, Wouter van, et al., 2008. “Good News or Bad News? Conducting Sentiment Analysis on Dutch Text to Distinguish Between Positive and Negative Relations.” Journal of Information Technology & Politics 5(1): 73-94.
6. Karpf, David. 2012. “Social Science Research Methods in Internet Time.” Information, Communication & Society, 15(5): 639-661.
7. Lin, Yu-Ru, Drew Margolin, and David Lazer, 2015. “Uncovering Social Semantics from Textual Traces: A Theory Driven Approach and Evidence from Public Statements of US Members of Congress.” Journal of the Association for Information Science and Technology 67: 2072-2089.
8. Gleditsch, K. S., & Weidmann, N. B. 2012. ”Richardson in the Information Age: Geographic Information Systems and Spatial Data in International Studies.” In M. Levi (Ed.), Annual Review of Political Science, Vol 15: 461–481. Palo Alto: Annual Reviews.
9. Stockmann, D. 2013. Media Commercialization and Authoritarian Rule in China. Cambridge University Press.
第十一週 基本自然語言處理概念介紹
�� 授課教師：黃三益教授、廖達琪教授
�� Activities:
1. 介紹基本的自然語言處理概念，包括斷詞、詞性、停用詞、Lemmatization/Stemming。
2. 介紹詞頻計算應用。
�� References:
1. 劉吉軒、黃三益、紀明德，2017，〈大數據分析技術與研究意涵〉，數據科學在人文社會學科的探索計畫期末報告，科技部人文社會中心。
2. 卓雍然，商業數據分析，available at http://msrc.cm.nsysu.edu.tw/files/11-1135-16577.php?Lang=zh-tw
3. Titus C. Chen, Promoting Human Rights for the State: An Analysis of China’s Official Human Rights Conception (1979-2015), Paper presented to the 74th annual conference, Midwest Political Science Association (MPSA), Chicago, IL, USA, April 8, 2016.
4. B.-Y. Chen, S.-Y. Hwang, 2015, "Senkaku/Diaoyu Islands Dispute and Taiwan’s Netizens’ Sentiments Toward Japan and China," East Asia, Springer, December, 2015.
第十二週基本自然語言處理實作
�� 授課教師：黃三益教授、廖達琪教授
�� Activities:
1. 介紹R語言裡的基本自然語言處理套件
2. 使用Yelp資料集實作英文詞頻計算和視覺呈現
3. 使用PTT資料集實作中文詞頻計算和視覺呈現
�� References:
1. Chi, Yau, R Tutorial, available at http://www.r-tutor.com/r-introduction.
2. Kailash Awati, A gentle introduction to text mining using R, available at https://eight2late.wordpress.com/2015/05/27/a-gentle-introduction-to-text-mining-using-r/
3. 卓雍然，文集內容分析，available at http://msrc.cm.nsysu.edu.tw/ezfiles/135/1135/img/2958/EffectExplorer.nb.html.
第十三週 進階自然語言處理概念介紹
�� 授課教師：黃三益教授、廖達琪教授
�� Activities:
1. 介紹進階的自然語言處理概念，包括NER、Ontology、WSD、Discourse Structure。
2. 介紹進階自然語言處理的應用。
�� References:
1. 劉吉軒、黃三益、紀明德，2017，〈大數據分析技術與研究意涵〉，數據科學在人文社會學科的探索計畫期末報告，科技部人文社會中心。
2. 卓雍然，商業數據分析，available at http://msrc.cm.nsysu.edu.tw/files/11-1135-16577.php?Lang=zh-tw
3. Titus C. Chen, Promoting Human Rights for the State: An Analysis of China’s Official Human Rights Conception (1979-2015), Paper presented to the 74th annual conference, Midwest Political Science Association (MPSA), Chicago, IL, USA, April 8, 2016.
4. B.-Y. Chen, S.-Y. Hwang, 2015, "Senkaku/Diaoyu Islands Dispute and Taiwan’s Netizens’ Sentiments Toward Japan and China," East Asia, Springer, December, 2015.
第十四週進階自然語言處理實作
�� 授課教師：黃三益教授、廖達琪教授
�� Activities:
1. 介紹R語言裡的進階自然語言處理套件
2. 使用Yelp資料集實作進階的自然語言處理和視覺呈現
�� References:
1. Chi, Yau, R Tutorial, available at http://www.r-tutor.com/r-introduction.
2. Kailash Awati, A gentle introduction to text mining using R, available at https://eight2late.wordpress.com/2015/05/27/a-gentle-introduction-to-text-mining-using-r/
3. 卓雍然，文集內容分析，available at http://msrc.cm.nsysu.edu.tw/ezfiles/135/1135/img/2958/EffectExplorer.nb.html.
第十五週 文字探勘概念介紹
�� 授課教師：黃三益教授、廖達琪教授
�� Activities:
1. 介紹文字探勘概念，包括Topic Model、Sentiment Analysis、Clustering以及Classification。
2. 介紹文字探勘的應用。
�� References:
1. 劉吉軒、黃三益、紀明德，2017，〈大數據分析技術與研究意涵〉，數據科學在人文社會學科的探索計畫期末報告，科技部人文社會中心。卓雍然，商業數據分析，available at http://msrc.cm.nsysu.edu.tw/files/11-1135-16577.php?Lang=zh-tw
2. Titus C. Chen, Promoting Human Rights for the State: An Analysis of China’s Official Human Rights Conception (1979-2015), Paper presented to the 74th annual conference, Midwest Political Science Association (MPSA), Chicago, IL, USA, April 8, 2016.
3. B.-Y. Chen, S.-Y. Hwang, 2015, "Senkaku/Diaoyu Islands Dispute and Taiwan’s Netizens’ Sentiments Toward Japan and China," East Asia, Springer, December, 2015.
第十六週文字探勘實作
�� 授課教師：黃三益教授、廖達琪教授
�� Activities:
1. 介紹R語言裡的文字探勘處理套件
2. 使用PTT和立法院法案資料集實作文字探勘和視覺呈現
�� References
1. Chi, Yau, R Tutorial, available at http://www.r-tutor.com/r-introduction.
2. Kailash Awati, A gentle introduction to text mining using R, available at https://eight2late.wordpress.com/2015/05/27/a-gentle-introduction-to-text-mining-using-r/
3. 卓雍然，文集內容分析，available at http://msrc.cm.nsysu.edu.tw/ezfiles/135/1135/img/2958/EffectExplorer.nb.html.
第十七週 期末成果展示與討論
�� 授課教師：廖達琪教授、黃三益教授
�� Activities:
1. 小組或個人期末報告
2. 主題：PTT
第十八週 期末成果展示與討論
�� 授課教師：廖達琪教授、黃三益教授
�� Activities:
1. 小組或個人期末報告
2. 主題：立法院法案資料
|
|