Slava Jankin Mikhaylov

According to our database, Slava Jankin Mikhaylov authored at least 14 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Applying NLP Techniques to Classify Businesses by their International Standard Industrial Classification (ISIC) Code.

Hannah Béchara, Ran Zhang, Shuzhou Yuan, Slava Jankin

Proceedings of the IEEE International Conference on Big Data, 2022

2020

Deep Learning for Political Science.

Kakia Chatsiou, Slava Jankin Mikhaylov

CoRR, 2020

Managing Artificial Intelligence Deployment in the Public Sector.

Averill Campion, Mila Gascó-Hernández, Slava Jankin Mikhaylov, Marc Esteve

Computer, 2020

2018

Artificial Intelligence for the Public Sector: Opportunities and challenges of cross-sector collaboration.

Slava Jankin Mikhaylov, Marc Esteve, Averill Campion

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

Multiplex Communities and the Emergence of International Conflict.

Caleb Pomeroy, Niheer Dasandi, Slava Jankin Mikhaylov

CoRR, 2018

2017

Application of Natural Language Processing to Determine User Satisfaction in Public Services.

Radoslaw Kowalski, Marc Esteve, 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

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

Database of Parliamentary Speeches in Ireland, 1919-2013.

Alexander Herzog, Slava J. Mikhaylov

CoRR, 2017

Topology Analysis of International Networks Based on Debates in the United Nations.

Stefano Gurciullo, Slava Mikhaylov

CoRR, 2017

Detecting Policy Preferences and Dynamics in the UN General Debate with Neural Word Embeddings.

Stefano Gurciullo, Slava Mikhaylov

CoRR, 2017

Understanding State Preferences With Text As Data: Introducing the UN General Debate Corpus.

Alexander Baturo, Niheer Dasandi, Slava J. Mikhaylov

CoRR, 2017

2015

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