People

Dr Akitaka Matsuo

Honorary Lecturer
Department of Government
Dr Akitaka Matsuo
  • Email

  • Location

    5.423, Colchester Campus

  • Academic support hours

    Tuesdays from 3 to 5 pm. Appointment Only.

Profile

Biography

I am a Lecturer in the Department of Government at University of Essex. Prior to my current position, I was a Postdoctoral Fellow in Institute for Analytics and Data Science (IADS). Before joining IADS, I was a Research Fellow in Data Science in Department of Methodology at the London School of Economics and Political Science. I earned my Ph.D in political science at Rice University in 2012. For more information, please visit my website https://amatsuo.net

Publications

Journal articles (9)

Barnes, TD., Crabtree, C., Matsuo, A. and Ono, Y., (2026). Sentiment on the Campaign Trail: Gender Differences in Candidates’ Use of Emotive Language. Journal of Politics

Matsuo, A. and Fukumoto, K., (2025). Legislators’ sentiment analysis supervised by legislators. Political Science Research and Methods, 1-17

Matsuo, A., Suzuki, M. and Uji, A., (2023). Ideas for macroeconomic surveillance: A comparative text analysis of country reports by global and regional financial organizations. Review of International Political Economy. 30 (6), 2357-2381

Matsuo, A., Han, O. and Matsumura, N., (2023). The Social Media Audience of Diplomatic Crisis. The British Journal of Politics and International Relations. 26 (3), 922-939

Matsuo, A. and Lee, S., (2018). Multi-dimensional Policy Preferences in the 2015 British General Election: A Conjoint Analysis. Electoral Studies. 55, 89-98

Lee, S. and Matsuo, A., (2018). Decomposing political knowledge: What is confidence in knowledge and why it matters. Electoral Studies. 51, 1-13

Benoit, K., Watanabe, K., Wang, H., Nulty, P., Obeng, A., Müller, S. and Matsuo, A., (2018). quanteda: An R package for the quantitative analysis of textual data. Journal of Open Source Software. 3 (30), 774-774

Amador Diaz Lopez, JC., Collignon-Delmar, S., Benoit, K. and Matsuo, A., (2017). Predicting the Brexit Vote by Tracking and Classifying Public Opinion Using Twitter Data. Statistics, Politics and Policy. 8 (1), 85-104

Fukumoto, K. and Matsuo, A., (2015). The Effects of Election Proximity on Participatory Shirking: The Staggered‐Term Chamber as a Laboratory. Legislative Studies Quarterly. 40 (4), 599-625

Grants and funding

2026

Generative Models as Coders: Implications for Measurement in Political Text Analysis

British Academy

2019

FJG

Innovate UK (formerly Technology Strategy Board)

Contact

a.matsuo@essex.ac.uk

Location:

5.423, Colchester Campus

Academic support hours:

Tuesdays from 3 to 5 pm. Appointment Only.

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