Alex Herzog
Alexander Herzog, Ph.D.
Lecturer, School of Computing
Clemson University

Office: 227 McAdams Hall
Office hours: Thursdays, 2:00-3:00pm

CV (PDF) | Google Scholar | GitHub

I am a Lecturer in the School of Computing at Clemson University, Director of the Senior Design/Capstone program in Computer Science, and Research Scientist in the Data Intensive Computing Ecosystems (DICE) Lab. Before joining the School of Computing, I received my Ph.D. in Political Science from the Department of Politics at New York University, taught at the London School of Economics, and worked as a postdoctoral researcher in Clemson's Social Analytics Institute.

My research is in computational social science, with a focus on text analysis and big data analytics. My work develops and applies scalable solutions to process and extract knowledge from large volumes of unstructured data, such as speeches, social media, scientific publications, and newspaper articles. I use insights extracted from these data to study political and social problems in the areas of comparative politics, legislative behavior, and public policy-making.



Peer-Reviewed Articles

Yuheng Du, Alexander Herzog, Andre Luckow, Ramu Nerella, Christopher Gropp, and Amy Apon. Representativeness of latent Dirichlet allocation topics estimated from data samples with application to Common Crawl. In Proceedings of the 2017 IEEE International Conference on Big Data, 2017. [ bib ]

Neela Avudaiappan, Alexander Herzog, Sneha Kadam, Yuheng Du, Jason Thatcher, and Ilya Safro. Detecting and summarizing emergent events in microblogs and social media streams by dynamic centralities. In Proceedings of the 2017 IEEE International Conference on Big Data, 2017. [ bib | arXiv ]

Brandon Posey, Christopher Gropp, Alexander Herzog, and Amy Apon. Automated cluster provisioning and workflow management for parallel scientific applications in the cloud. In Proceedings of the 10th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS), 2017. Workshop held in conjunction with the 2017 International Conference for High Performance Computing, Networking, Storage and Analysis. [ bib ]

Alexander Herzog and Slava Mikhaylov. Database of parliamentary speeches in Ireland, 1919-2013. In Proceedings of the 1st IEEE International Conference on the Frontiers and Advances in Data Science, 2017. [ bib | pdf | data ]

Benjamin E. Lauderdale and Alexander Herzog. Measuring political positions from legislative speech. Political Analysis, 24(3):374--394, 2016. [ bib | pdf | online appendix | replication files ]

Alexander Herzog and Kenneth Benoit. The most unkindest cuts: Speaker selection and expressed government dissent during economic crisis. Journal of Politics, 77(4):1157--1175, 2015. [ bib | pdf | online appendix | replication files ]

Alexander Herzog and Joshua A. Tucker. The dynamics of support: The winners-losers gap in attitudes towards EU membership in post-communist countries. European Political Science Review, 2(2):235--267, 2010. [ bib | pdf | replication files ]

Franz Urban Pappi, Alexander Herzog, and Ralf Schmitt. Koalitionssignale und die Kombination von Erst- und Zweitstimme bei den Bundestagswahlen 1953 bis 2005 [Coalition signals and the combination of first and second vote in Bundestag elections 1953 to 2005]. Zeitschrift für Parlamentsfragen, 37(3):493--513, 2006. [ bib | pdf ]

Franz Urban Pappi, Axel Becker, and Alexander Herzog. Regierungsbildung in Mehrebenensystemen: zur Erklärung der Koalitionsbildung in den deutschen Bundesländern [Government formation in multilevel systems: Explaining coalition building in the German Länder]. Politische Vierteljahresschrift, 46(3):432--458, 2005. [ bib | pdf ]

Book Chapters

Kenneth Benoit and Alexander Herzog. Text analysis: Estimating policy preferences from written and spoken words. In Jennifer Bachner, Kathryn Wagner Hill, and Benjamin Ginsberg, editors, Analytics, Policy and Governance, pages 137--159. Yale University Press, 2017. [ bib ]

Working Papers

Chris Gropp, Alexander Herzog, Ilya Safro, Paul Wilson, and Amy Apon. Scalable dynamic topic modeling with clustered latent Dirichlet allocation (CLDA). 2017. [ bib | arXiv ]

Liam Weeks, Mícheál O Fathartaigh, Slava Mikhaylov, and Alexander Herzog. More than words? Explaining the origins of the Irish party system. Presented at the 2016 Annual Conference of the Political Studies Association of Ireland. *Winner of the Irish Political Studies Best Paper Prize*, 2016. [ bib ]


Clemson University

Catalog # Course Title Spring 2016 Fall 2016 Spring 2017 Fall 2017 Spring 2018
CPSC 4300/6300 Applied Data Science X X X X X
CPSC 4910-02 Senior Design/Capstone Course X X X X
CPSC 4910-01 Seminar in Professional Issues II X X X

London School of Economics

New York University


DPSI: Database of Parliamentary Speeches in Ireland

(with Slava Mikhaylov)


Mailing address:
School of Computing
100 McAdams Hall
Clemson University
Clemson, SC 29634-0901

Office: 227 McAdams Hall