Standard

Multilingual Sentiment Analysis for User Discussions on Social Networks: An Approach Based on a Modified SVM Algorithm. / Блеканов, Иван Станиславович; Кукаркин, Михаил Михайлович.

Stability and Control Processes: Proceedings of the 4th International Conference Dedicated to the Memory of Professor Vladimir Zubov. Springer Nature, 2022. p. 785-791 (Lecture Notes in Control and Information Sciences).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Блеканов, ИС & Кукаркин, ММ 2022, Multilingual Sentiment Analysis for User Discussions on Social Networks: An Approach Based on a Modified SVM Algorithm. in Stability and Control Processes: Proceedings of the 4th International Conference Dedicated to the Memory of Professor Vladimir Zubov. Lecture Notes in Control and Information Sciences, Springer Nature, pp. 785-791, Stability and Control Processes: International Conference Dedicated to the Memory of Professor Vladimir Zubov, Saint Petersburg, Russian Federation, 5/10/20. https://doi.org/10.1007/978-3-030-87966-2_90

APA

Блеканов, И. С., & Кукаркин, М. М. (2022). Multilingual Sentiment Analysis for User Discussions on Social Networks: An Approach Based on a Modified SVM Algorithm. In Stability and Control Processes: Proceedings of the 4th International Conference Dedicated to the Memory of Professor Vladimir Zubov (pp. 785-791). (Lecture Notes in Control and Information Sciences). Springer Nature. https://doi.org/10.1007/978-3-030-87966-2_90

Vancouver

Блеканов ИС, Кукаркин ММ. Multilingual Sentiment Analysis for User Discussions on Social Networks: An Approach Based on a Modified SVM Algorithm. In Stability and Control Processes: Proceedings of the 4th International Conference Dedicated to the Memory of Professor Vladimir Zubov. Springer Nature. 2022. p. 785-791. (Lecture Notes in Control and Information Sciences). https://doi.org/10.1007/978-3-030-87966-2_90

Author

Блеканов, Иван Станиславович ; Кукаркин, Михаил Михайлович. / Multilingual Sentiment Analysis for User Discussions on Social Networks: An Approach Based on a Modified SVM Algorithm. Stability and Control Processes: Proceedings of the 4th International Conference Dedicated to the Memory of Professor Vladimir Zubov. Springer Nature, 2022. pp. 785-791 (Lecture Notes in Control and Information Sciences).

BibTeX

@inproceedings{9ef1a7ba5b514e1eb7c7b0d3bc84de59,
title = "Multilingual Sentiment Analysis for User Discussions on Social Networks: An Approach Based on a Modified SVM Algorithm",
author = "Блеканов, {Иван Станиславович} and Кукаркин, {Михаил Михайлович}",
year = "2022",
doi = "10.1007/978-3-030-87966-2_90",
language = "English",
isbn = "978-3-030-87968-6",
series = "Lecture Notes in Control and Information Sciences",
publisher = "Springer Nature",
pages = "785--791",
booktitle = "Stability and Control Processes",
address = "Germany",
note = "Stability and Control Processes: International Conference Dedicated to the Memory of Professor Vladimir Zubov : Dedicated to the Memory of Professor Vladimir Zubov, SCP2020 ; Conference date: 05-10-2020 Through 09-10-2020",
url = "http://www.apmath.spbu.ru/scp2020/, http://www.apmath.spbu.ru/scp2020/ru/main/, http://www.apmath.spbu.ru/scp2020/eng/program/#schedule, https://link.springer.com/conference/scp",

}

RIS

TY - GEN

T1 - Multilingual Sentiment Analysis for User Discussions on Social Networks: An Approach Based on a Modified SVM Algorithm

AU - Блеканов, Иван Станиславович

AU - Кукаркин, Михаил Михайлович

N1 - Conference code: 4

PY - 2022

Y1 - 2022

UR - https://link.springer.com/chapter/10.1007/978-3-030-87966-2_90#citeas

U2 - 10.1007/978-3-030-87966-2_90

DO - 10.1007/978-3-030-87966-2_90

M3 - Conference contribution

SN - 978-3-030-87968-6

SN - 978-3-030-87965-5

T3 - Lecture Notes in Control and Information Sciences

SP - 785

EP - 791

BT - Stability and Control Processes

PB - Springer Nature

T2 - Stability and Control Processes: International Conference Dedicated to the Memory of Professor Vladimir Zubov

Y2 - 5 October 2020 through 9 October 2020

ER -

ID: 104474721