EmoSense at SemEval-2019 Task 3: Bidirectional LSTM Network for Contextual Emotion Detection in Textual Conversations. - Sergey Smetanin (SemEval@NAACL-HLT, 2019)

Sentiment Analysis of Product Reviews in Russian using Convolutional Neural Networks. - Sergey Smetanin; Mikhail M. Komarov (CBI (1), 2019)

Modeling of Distributed Ledgers: Challenges and Future Perspectives. - Sergey Smetanin; Aleksandr Ometov; Niclas Kannengießer; Benjamin Sturm; Mikhail M. Komarov; Ali Sunyaev (CBI (1), 2020)

The Applications of Sentiment Analysis for Russian Language Texts: Current Challenges and Future Perspectives. - Sergey Smetanin (IEEE Access, 2020)

Blockchain Evaluation Approaches: State-of-the-Art and Future Perspective. - Sergey Smetanin; Aleksandr Ometov; Mikhail M. Komarov; Pavel Masek; Yevgeni Koucheryavy (Sensors, 2020)

Share of Toxic Comments among Different Topics: The Case of Russian Social Networks. - Sergey Smetanin; Mikhail M. Komarov (CBI (2), 2021)

Deep transfer learning baselines for sentiment analysis in Russian. - Sergey Smetanin; Mikhail M. Komarov (Inf. Process. Manag., 2021)

Misclassification Bias in Computational Social Science: A Simulation Approach for Assessing the Impact of Classification Errors on Social Indicators Research. - Sergey Smetanin; Mikhail M. Komarov (IEEE Access, 2022)

RuSentiTweet: a sentiment analysis dataset of general domain tweets in Russian. - Sergey Smetanin (PeerJ Comput. Sci., 2022)

How weather impacts expressed sentiment in Russia: evidence from Odnoklassniki. - Sergey Smetanin (PeerJ Comput. Sci., 2022)

The voice of Twitter: observable subjective well-being inferred from tweets in Russian. - Sergey Smetanin; Mikhail M. Komarov (PeerJ Comput. Sci., 2022)