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Sentiment analysis for ad hoc discussions using multilingual knowledge-based approach. / Blekanov, Ivan; Kukarkin, Mikhail; Maksimov, Alexey; Bodrunova, Svetlana.

Proceedings of the 3rd International Conference on Applications in Information Technology, ICAIT 2018. ed. / Klyuev Vitaly; Pyshkin Evgeny; Natalia Bogach. Association for Computing Machinery, 2018. p. 117-121 (ACM International Conference Proceeding Series).

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

Harvard

Blekanov, I, Kukarkin, M, Maksimov, A & Bodrunova, S 2018, Sentiment analysis for ad hoc discussions using multilingual knowledge-based approach. in K Vitaly, P Evgeny & N Bogach (eds), Proceedings of the 3rd International Conference on Applications in Information Technology, ICAIT 2018. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 117-121, 3rd International Conference on Applications in Information Technology, ICAIT 2018, Aizu-Wakamatsu, Japan, 1/11/18. https://doi.org/10.1145/3274856.3274880

APA

Blekanov, I., Kukarkin, M., Maksimov, A., & Bodrunova, S. (2018). Sentiment analysis for ad hoc discussions using multilingual knowledge-based approach. In K. Vitaly, P. Evgeny, & N. Bogach (Eds.), Proceedings of the 3rd International Conference on Applications in Information Technology, ICAIT 2018 (pp. 117-121). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3274856.3274880

Vancouver

Blekanov I, Kukarkin M, Maksimov A, Bodrunova S. Sentiment analysis for ad hoc discussions using multilingual knowledge-based approach. In Vitaly K, Evgeny P, Bogach N, editors, Proceedings of the 3rd International Conference on Applications in Information Technology, ICAIT 2018. Association for Computing Machinery. 2018. p. 117-121. (ACM International Conference Proceeding Series). https://doi.org/10.1145/3274856.3274880

Author

Blekanov, Ivan ; Kukarkin, Mikhail ; Maksimov, Alexey ; Bodrunova, Svetlana. / Sentiment analysis for ad hoc discussions using multilingual knowledge-based approach. Proceedings of the 3rd International Conference on Applications in Information Technology, ICAIT 2018. editor / Klyuev Vitaly ; Pyshkin Evgeny ; Natalia Bogach. Association for Computing Machinery, 2018. pp. 117-121 (ACM International Conference Proceeding Series).

BibTeX

@inproceedings{bb365057ffdb40109c705c05e8d6309c,
title = "Sentiment analysis for ad hoc discussions using multilingual knowledge-based approach",
abstract = "Over the past few years the sentiment analysis task of users' posts in social networks has become very popular among researchers. In this paper, authors present and describe the developed multi-lingual knowledge-based approach of sentiment analysis in major conflict ad hoc discussions of the social network Twitter. An experiment is made in which the quality of the proposed method is evaluated with different parameters on two real ad hoc discussions: Ferguson unrest (USA) and Biryuliovo bashings (Russia). The results of the experiment show a good quality of the sentiment analysis of the discussions. In particular, the average value of the accuracy of Russian and English is 0.65, and the f-measure is 0.7.",
keywords = "Ad hoc disscussion, Knowledge-based methods, Sentiment analysis, Text tagging, Twitter",
author = "Ivan Blekanov and Mikhail Kukarkin and Alexey Maksimov and Svetlana Bodrunova",
year = "2018",
month = nov,
day = "1",
doi = "10.1145/3274856.3274880",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "117--121",
editor = "Klyuev Vitaly and Pyshkin Evgeny and Natalia Bogach",
booktitle = "Proceedings of the 3rd International Conference on Applications in Information Technology, ICAIT 2018",
address = "United States",
note = "3rd International Conference on Applications in Information Technology, ICAIT 2018 ; Conference date: 01-11-2018 Through 03-11-2018",

}

RIS

TY - GEN

T1 - Sentiment analysis for ad hoc discussions using multilingual knowledge-based approach

AU - Blekanov, Ivan

AU - Kukarkin, Mikhail

AU - Maksimov, Alexey

AU - Bodrunova, Svetlana

PY - 2018/11/1

Y1 - 2018/11/1

N2 - Over the past few years the sentiment analysis task of users' posts in social networks has become very popular among researchers. In this paper, authors present and describe the developed multi-lingual knowledge-based approach of sentiment analysis in major conflict ad hoc discussions of the social network Twitter. An experiment is made in which the quality of the proposed method is evaluated with different parameters on two real ad hoc discussions: Ferguson unrest (USA) and Biryuliovo bashings (Russia). The results of the experiment show a good quality of the sentiment analysis of the discussions. In particular, the average value of the accuracy of Russian and English is 0.65, and the f-measure is 0.7.

AB - Over the past few years the sentiment analysis task of users' posts in social networks has become very popular among researchers. In this paper, authors present and describe the developed multi-lingual knowledge-based approach of sentiment analysis in major conflict ad hoc discussions of the social network Twitter. An experiment is made in which the quality of the proposed method is evaluated with different parameters on two real ad hoc discussions: Ferguson unrest (USA) and Biryuliovo bashings (Russia). The results of the experiment show a good quality of the sentiment analysis of the discussions. In particular, the average value of the accuracy of Russian and English is 0.65, and the f-measure is 0.7.

KW - Ad hoc disscussion

KW - Knowledge-based methods

KW - Sentiment analysis

KW - Text tagging

KW - Twitter

UR - http://www.scopus.com/inward/record.url?scp=85058614911&partnerID=8YFLogxK

U2 - 10.1145/3274856.3274880

DO - 10.1145/3274856.3274880

M3 - Conference contribution

AN - SCOPUS:85058614911

T3 - ACM International Conference Proceeding Series

SP - 117

EP - 121

BT - Proceedings of the 3rd International Conference on Applications in Information Technology, ICAIT 2018

A2 - Vitaly, Klyuev

A2 - Evgeny, Pyshkin

A2 - Bogach, Natalia

PB - Association for Computing Machinery

T2 - 3rd International Conference on Applications in Information Technology, ICAIT 2018

Y2 - 1 November 2018 through 3 November 2018

ER -

ID: 42548048