Mikhail Kukarkin

BM.5503.2019 Database Technologies

Former affiliations

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

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1 Finished

PresidentMD_2018 - 2: Кросс-культурный тональный анализ пользовательских текстов в сети Интернет: 2019 г. этап 2
Блеканов, И. С., Данилова, Ю. С., Смолярова, А. С., Бодрунова, С. С. & Кукаркин, М. М.
1/01/19 → 31/12/19
Project

8 Citations
2 h-Index
5 статья в сборнике материалов конференции
1 свидетельство о регистрации

Программа для мультиязычного анализа тональности пользовательских сообщений в социальных сетях (MultiSentimentLab)
Блеканов, И. С. & Кукаркин, М. М., 18 Feb 2020, Patent No. 2020612133, 14 Nov 2019
Research output

Open Access
File

3 Downloads (Pure)
Topic modeling for Twitter discussions: Model selection and quality assessment
Bodrunova, S. S., Blekanov, I. S. & Kukarkin, M. M., Aug 2019, 6TH SWS INTERNATIONAL SCIENTIFIC CONFERENCES ON SOCIAL SCIENCES 2019: Conference proceedings. Sofia, Bulgaria: STEF92 Technology Ltd., Vol. 6. p. 207-214 8 p.
Research output › › peer-review
Topics in the Russian Twitter and relations between their interpretability and sentiment
Bodrunova, S. S., Blekanov, I. S. & Kukarkin, M., Nov 2019, 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS). Institute of Electrical and Electronics Engineers Inc., p. 549-554 6 p.
Research output › › peer-review

1 Citation (Scopus)
Multi-dimensional echo chambers: Language and sentiment structure of Twitter discussions on the Charlie Hebdo case
Бодрунова, С. С., Блеканов, И. С. & Кукаркин, М. М., 2018, HCI International 2018 – Posters' Extended Abstracts: 20th International Conference, HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings, Part I. Stephanidis, C. (ed.). Springer Nature, Vol. 850. p. 393-400 8 p. (Communications in Computer and Information Science; vol. 850).
Research output
2 Citations (Scopus)
Negative A/Effect: Sentiment of French-Speaking Users and Its Impact Upon Affective Hashtags on Charlie Hebdo
Бодрунова, С. С., Блеканов, И. С., Кукаркин, М. М. & Журавлева, Н. Н., Oct 2018, Internet Science - 5th International Conference, INSCI 2018, Proceedings. Bodrunova, S. S. (ed.). Springer, Cham ed. Vol. vol 11193. p. 226-241 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11193 LNCS).
Research output › › peer-review
4 Citations (Scopus)

PresidentMD_2018 - 2: Кросс-культурный тональный анализ пользовательских текстов в сети Интернет: 2019 г. этап 2

Программа для мультиязычного анализа тональности пользовательских сообщений в социальных сетях (MultiSentimentLab)

Topic modeling for Twitter discussions: Model selection and quality assessment

Topics in the Russian Twitter and relations between their interpretability and sentiment

Multi-dimensional echo chambers: Language and sentiment structure of Twitter discussions on the Charlie Hebdo case

Negative A/Effect: Sentiment of French-Speaking Users and Its Impact Upon Affective Hashtags on Charlie Hebdo