Theory-Driven Analysis of Large Corpora: Semisupervised Topic Classification of the UN Speeches
暂无分享,去创建一个
[1] Anna Holzscheiter. Between Communicative Interaction and Structures of Signification: Discourse Theory and Analysis in International Relations , 2014 .
[2] Haym Hirsh,et al. Improving Short-Text Classification using Unlabeled Data for Classification Problems , 2000, ICML.
[3] Justin Grimmer,et al. Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts , 2013, Political Analysis.
[4] Claire Cardie,et al. Multi-aspect Sentiment Analysis with Topic Models , 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.
[5] Bernhard Schölkopf,et al. Semi-Supervised Learning (Adaptive Computation and Machine Learning) , 2006 .
[6] Margaret E. Roberts,et al. Computer‐Assisted Keyword and Document Set Discovery from Unstructured Text , 2017 .
[7] Hal Daumé,et al. Incorporating Lexical Priors into Topic Models , 2012, EACL.
[8] Tomila V. Lankina,et al. ‘Russian Spring’ or ‘Spring Betrayal’? The Media as a Mirror of Putin’s Evolving Strategy in Ukraine , 2017 .
[9] Martijn Schoonvelde,et al. No Longer Lost in Translation: Evidence that Google Translate Works for Comparative Bag-of-Words Text Applications , 2018, Political Analysis.
[10] Slava J. Mikhaylov,et al. Understanding state preferences with text as data: Introducing the UN General Debate corpus , 2017, ArXiv.
[11] Paul Heinbecker,et al. Politics and Process at the United Nations: The Global Dance@@@Irrelevant or Indispensable: The United Nations in the 21st Century@@@Adapting the United Nations to a Postmodern Era , 2005 .
[12] Susumu Horiguchi,et al. Learning to classify short and sparse text & web with hidden topics from large-scale data collections , 2008, WWW.
[13] Richard Jackson,et al. Writing the War on Terrorism: Language, Politics and Counter-Terrorism , 2005 .
[14] Kurt Hornik,et al. topicmodels : An R Package for Fitting Topic Models , 2016 .
[15] Margaret E. Roberts,et al. A Model of Text for Experimentation in the Social Sciences , 2016 .
[16] David G. Rand,et al. Structural Topic Models for Open‐Ended Survey Responses , 2014, American Journal of Political Science.
[17] Kenneth Benoit,et al. Natural Sentences as Valid Units for Coded Political Texts , 2012 .
[18] Kohei Watanabe. The spread of the Kremlin’s narratives by a western news agency during the Ukraine crisis , 2017 .
[19] S. Brunn. The worldviews of small states: A content analysis of 1995 UN speeches , 1999 .
[20] Petter Nesser. Chronology of Jihadism in Western Europe 1994–2007: Planned, Prepared, and Executed Terrorist Attacks , 2008 .
[21] J. Milliken. The Study of Discourse in International Relations: , 1999 .
[22] Slava Mikhaylov,et al. Topology Analysis of International Networks Based on Debates in the United Nations , 2017, ArXiv.
[23] Nick Vaughan-Williams,et al. New Materialisms, discourse analysis, and International Relations: a radical intertextual approach , 2014, Review of International Studies.
[24] Kohei Watanabe. Conspiracist propaganda: How Russia promotes anti-establishment sentiment online? , 2018 .
[25] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[26] B. Banta. Analysing discourse as a causal mechanism , 2013 .
[27] Shogo Suzuki. The rise of the Chinese ‘Other’ in Japan's construction of identity: Is China a focal point of Japanese nationalism? , 2015 .
[28] Governmentalizing the Post–Cold War International Regime: The UN Debate on Democratization and Good Governance , 2005 .
[29] D. Collier,et al. Measurement Validity: A Shared Standard for Qualitative and Quantitative Research , 2001, American Political Science Review.
[30] D. Rueschemeyer,et al. The Impact of Economic Development on Democracy , 1993 .
[31] L. Hansen. Security as Practice: Discourse Analysis and the Bosnian War , 2006 .
[32] Peter Sch. Identifying document topics using the Wikipedia category network , 2006 .
[33] Mirco Schönfeld,et al. Discursive Landscapes and Unsupervised Topic Modeling in IR: A Validation of Text-As-Data Approaches through a New Corpus of UN Security Council Speeches on Afghanistan , 2018, ArXiv.
[34] Patrice Bellot,et al. Accurate and effective latent concept modeling for ad hoc information retrieval , 2014, Document Numérique.
[35] Justin Grimmer,et al. A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases , 2010, Political Analysis.
[36] Somnath Banerjee,et al. Clustering short texts using wikipedia , 2007, SIGIR.
[37] Will Lowe,et al. Multilingual Sentiment Analysis: A New Approach to Measuring Conflict in Legislative Speeches , 2018, Legislative Studies Quarterly.
[38] Avrim Blum,et al. The Bottleneck , 2021, Monopsony Capitalism.
[39] John D. Lafferty,et al. A correlated topic model of Science , 2007, 0708.3601.
[40] Margherita Pasini,et al. Quality and Quantity in Test Validity: How can we be Sure that Psychological Tests Measure what they have to? , 2007 .
[41] Haiyan Wang,et al. quanteda: An R package for the quantitative analysis of textual data , 2018, J. Open Source Softw..
[42] Péter Schönhofen,et al. Identifying Document Topics Using the Wikipedia Category Network , 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06).
[43] Sheng Tang,et al. A density-based method for adaptive LDA model selection , 2009, Neurocomputing.
[44] Kohei Watanabe,et al. Newsmap: A semi-supervised approach to geographical news classification , 2018 .