7 citations · 14 across the 8 of their papers we have counts for
10 papers · 1 filter
Deep Learning for Political Science
Kakia Chatsiou, Slava Jankin Mikhaylov
Political science, and social science in general, have traditionally been using computational methods to study areas such as voting behavior, policy making, international conflict,…
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
Topic models are widely used in natural language processing, allowing researchers to estimate the underlying themes in a collection of documents. Most topic models use unsupervised…
Multiplex Communities and the Emergence of International Conflict
Caleb Pomeroy, Niheer Dasandi, Slava Jankin Mikhaylov
Advances in community detection reveal new insights into multiplex and multilayer networks. Less work, however, investigates the relationship between these communities and outcomes…
Disunited Nations? A Multiplex Network Approach to Detecting Preference Affinity Blocs using Texts and Votes
Caleb Pomeroy, Niheer Dasandi, Slava J. Mikhaylov
This paper contributes to an emerging literature that models votes and text in tandem to better understand polarization of expressed preferences. It introduces a new approach to es…
Application of Natural Language Processing to Determine User Satisfaction in Public Services
Radoslaw Kowalski, Marc Esteve, Slava J. Mikhaylov
Research on customer satisfaction has increased substantially in recent years. However, the relative importance and relationships between different determinants of satisfaction rem…
Data Innovation for International Development: An overview of natural language processing for qualitative data analysis
Philipp Broniecki, Anna Hanchar, Slava J. Mikhaylov
Availability, collection and access to quantitative data, as well as its limitations, often make qualitative data the resource upon which development programs heavily rely. Both tr…