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Journal Articles
- 2022
[j7]Sergey Smetanin
, Mikhail M. Komarov:
Misclassification Bias in Computational Social Science: A Simulation Approach for Assessing the Impact of Classification Errors on Social Indicators Research. IEEE Access 10: 18886-18898 (2022)- [j6]Sergey Smetanin:
RuSentiTweet: a sentiment analysis dataset of general domain tweets in Russian. PeerJ Comput. Sci. 8: e1039 (2022) - [j5]Sergey Smetanin:
How weather impacts expressed sentiment in Russia: evidence from Odnoklassniki. PeerJ Comput. Sci. 8: e1164 (2022) - [j4]Sergey Smetanin, Mikhail M. Komarov:
The voice of Twitter: observable subjective well-being inferred from tweets in Russian. PeerJ Comput. Sci. 8: e1181 (2022) - 2021
- [j3]Sergey Smetanin, Mikhail M. Komarov:
Deep transfer learning baselines for sentiment analysis in Russian. Inf. Process. Manag. 58(3): 102484 (2021) - 2020
- [j2]Sergey Smetanin:
The Applications of Sentiment Analysis for Russian Language Texts: Current Challenges and Future Perspectives. IEEE Access 8: 110693-110719 (2020) - [j1]Sergey Smetanin, Aleksandr Ometov, Mikhail M. Komarov, Pavel Masek, Yevgeni Koucheryavy:
Blockchain Evaluation Approaches: State-of-the-Art and Future Perspective. Sensors 20(12): 3358 (2020)
Conference and Workshop Papers
- 2021
- [c4]Sergey Smetanin, Mikhail M. Komarov:
Share of Toxic Comments among Different Topics: The Case of Russian Social Networks. CBI (2) 2021: 65-70 - 2020
- [c3]Sergey Smetanin, Aleksandr Ometov, Niclas Kannengießer, Benjamin Sturm, Mikhail M. Komarov, Ali Sunyaev:
Modeling of Distributed Ledgers: Challenges and Future Perspectives. CBI (1) 2020: 162-171 - 2019
- [c2]Sergey Smetanin:
EmoSense at SemEval-2019 Task 3: Bidirectional LSTM Network for Contextual Emotion Detection in Textual Conversations. SemEval@NAACL-HLT 2019: 210-214 - [c1]Sergey Smetanin, Mikhail M. Komarov:
Sentiment Analysis of Product Reviews in Russian using Convolutional Neural Networks. CBI (1) 2019: 482-486
Coauthor Index
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