Complex Politics: A Quantitative Semantic and Topological Analysis of UK House of Commons Debates. - Stefano Gurciullo; Michael Smallegan; María Pereda; Federico Battiston; Alice Patania; Sebastian Poledna; Daniel Hedblom; Bahattin Tolga Öztan; Alexander Herzog; Peter John; Slava J. Mikhaylov (CoRR, 2015)

Understanding State Preferences With Text As Data: Introducing the UN General Debate Corpus. - Alexander Baturo; Niheer Dasandi; Slava J. Mikhaylov (CoRR, 2017)

Detecting Policy Preferences and Dynamics in the UN General Debate with Neural Word Embeddings. - Stefano Gurciullo; Slava Mikhaylov (CoRR, 2017)

Topology Analysis of International Networks Based on Debates in the United Nations. - Stefano Gurciullo; Slava Mikhaylov (CoRR, 2017)

Database of Parliamentary Speeches in Ireland, 1919-2013. - Alexander Herzog; Slava J. Mikhaylov (CoRR, 2017)

What Drives the International Development Agenda? An NLP Analysis of the United Nations General Debate 1970-2016. - Alexander Baturo; Niheer Dasandi; Slava J. Mikhaylov (CoRR, 2017)

Data Innovation for International Development: An overview of natural language processing for qualitative data analysis. - Philipp Broniecki; Anna Hanchar; Slava J. Mikhaylov (CoRR, 2017)

Application of Natural Language Processing to Determine User Satisfaction in Public Services. - Radoslaw Kowalski; Marc Esteve; Slava J. Mikhaylov (CoRR, 2017)

Multiplex Communities and the Emergence of International Conflict. - Caleb Pomeroy; Niheer Dasandi; Slava Jankin Mikhaylov (CoRR, 2018)

Transfer Topic Labeling with Domain-Specific Knowledge Base: An Analysis of UK House of Commons Speeches 1935-2014. - Alexander Herzog; Peter John; Slava Jankin Mikhaylov (CoRR, 2018)

Artificial Intelligence for the Public Sector: Opportunities and challenges of cross-sector collaboration. - Slava Jankin Mikhaylov; Marc Esteve; Averill Campion (CoRR, 2018)

Managing Artificial Intelligence Deployment in the Public Sector. - Averill Campion; Mila Gascó-Hernández; Slava Jankin Mikhaylov; Marc Esteve (Computer, 2020)

Deep Learning for Political Science. - Kakia Chatsiou; Slava Jankin Mikhaylov (CoRR, 2020)

Applying NLP Techniques to Classify Businesses by their International Standard Industrial Classification (ISIC) Code. - Hannah Béchara; Ran Zhang; Shuzhou Yuan; Slava Jankin (IEEE Big Data, 2022)

From Searches to Sneezes: Evaluating Digital Indicators for Allergic Rhinitis Surveillance in the United Kingdom1. - Krishnamoorthy Manohara; Slava Jankin; Jean Bousquet; Paulina Garcia Corral; Jorge Roa; Hannah Béchara; Bernardo Sousa-Pinto (IEEE Big Data, 2024)

PolitiCause: An Annotation Scheme and Corpus for Causality in Political Texts. - Paulina Garcia Corral; Hanna Béchara; Ran Zhang; Slava Jankin (LREC/COLING, 2024)

Creating and Evaluating a Multilingual Corpus of UN General Assembly Debates. - Hannah Béchara; Krishnamoorthy Manohara; Slava Jankin (EAMT (1), 2024)

The Missing Cause: An Analysis of Causal Attributions in Reporting on Palestine. - Paulina Garcia Corral; Hannah Béchara; Krishnamoorthy Manohara; Slava Jankin (COLING Workshops, 2025)