| A full-cycle methodology for news topic modeling and user feedback research S Koltsov, S Pashakhin, S Dokuka International Conference on Social Informatics, 308-321, 2018 | 7 | 2018 |
| Topic modeling for frame analysis of news media S Pashakhin Proceedings of the AINL FRUCT, 103-105, 2016 | 6 | 2016 |
| Agenda divergence in a developing conflict: Quantitative evidence from Ukrainian and Russian TV newsfeeds O Koltsova, S Pashakhin Media, War & Conflict 13 (3), 237-257, 2020 | 4 | 2020 |
| Fast tuning of topic models: an application of Rényi entropy and renormalization theory S Koltcov, V Ignatenko, S Pashakhin Multidisciplinary Digital Publishing Institute Proceedings 46 (1), 5, 2019 | 1 | 2019 |
| PolSentiLex: Sentiment Detection in Socio-Political Discussions on Russian Social Media O Koltsova, S Alexeeva, S Pashakhin, S Koltsov Conference on Artificial Intelligence and Natural Language, 1-16, 2020 | | 2020 |
| How Many Clusters? An Entropic Approach to Hierarchical Cluster Analysis S Koltcov, V Ignatenko, S Pashakhin Science and Information Conference, 560-569, 2020 | | 2020 |
| Modeling Cascade Growth: Predicting Content Diffusion on VKontakte A Moroz, S Pashakhin, S Koltsov | | 2020 |
Olessia KoltsovaHead, Laboratory for Social & Cognitive Informatics, National University Higher School of EconomicsVerified email at hse.ru
