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Topic modeling of conflict ad hoc discussions in social networks. / Blekanov, Ivan; Tarasov, Nikita; Maksimov, Alexey.

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. 122-126 (ACM International Conference Proceeding Series).

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

Harvard

Blekanov, I, Tarasov, N & Maksimov, A 2018, Topic modeling of conflict ad hoc discussions in social networks. 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. 122-126, 3rd International Conference on Applications in Information Technology, ICAIT 2018, Aizu-Wakamatsu, Japan, 1/11/18. https://doi.org/10.1145/3274856.3274881

APA

Blekanov, I., Tarasov, N., & Maksimov, A. (2018). Topic modeling of conflict ad hoc discussions in social networks. In K. Vitaly, P. Evgeny, & N. Bogach (Eds.), Proceedings of the 3rd International Conference on Applications in Information Technology, ICAIT 2018 (pp. 122-126). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3274856.3274881

Vancouver

Blekanov I, Tarasov N, Maksimov A. Topic modeling of conflict ad hoc discussions in social networks. 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. 122-126. (ACM International Conference Proceeding Series). https://doi.org/10.1145/3274856.3274881

Author

Blekanov, Ivan ; Tarasov, Nikita ; Maksimov, Alexey. / Topic modeling of conflict ad hoc discussions in social networks. 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. 122-126 (ACM International Conference Proceeding Series).

BibTeX

@inproceedings{2ca17f713f8543a090c7b02dfd0b6126,
title = "Topic modeling of conflict ad hoc discussions in social networks",
abstract = "In this paper authors carry out the research of three different topic models in the context of analyzing different large scale twitter ad hoc discussions, obtained from social network on different social and political events. An experiment is being conducted to test the effectiveness of models in analyzing three known discussions: the riots in Biryulyovo (Russia), Ferguson unrest (USA), Charlie Hebdo shooting (France). The results of the experiment show that the BTM topic model in terms of both Umass and Npmi, yielded the best results on all discussions in comparison to the baseline LDA model and another model for short imbalanced texts - WNTM.",
keywords = "Ad hoc discussions, BTM, LDA, Social networks, Topic modeling, WNTM",
author = "Ivan Blekanov and Nikita Tarasov and Alexey Maksimov",
year = "2018",
month = nov,
day = "1",
doi = "10.1145/3274856.3274881",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "122--126",
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 - Topic modeling of conflict ad hoc discussions in social networks

AU - Blekanov, Ivan

AU - Tarasov, Nikita

AU - Maksimov, Alexey

PY - 2018/11/1

Y1 - 2018/11/1

N2 - In this paper authors carry out the research of three different topic models in the context of analyzing different large scale twitter ad hoc discussions, obtained from social network on different social and political events. An experiment is being conducted to test the effectiveness of models in analyzing three known discussions: the riots in Biryulyovo (Russia), Ferguson unrest (USA), Charlie Hebdo shooting (France). The results of the experiment show that the BTM topic model in terms of both Umass and Npmi, yielded the best results on all discussions in comparison to the baseline LDA model and another model for short imbalanced texts - WNTM.

AB - In this paper authors carry out the research of three different topic models in the context of analyzing different large scale twitter ad hoc discussions, obtained from social network on different social and political events. An experiment is being conducted to test the effectiveness of models in analyzing three known discussions: the riots in Biryulyovo (Russia), Ferguson unrest (USA), Charlie Hebdo shooting (France). The results of the experiment show that the BTM topic model in terms of both Umass and Npmi, yielded the best results on all discussions in comparison to the baseline LDA model and another model for short imbalanced texts - WNTM.

KW - Ad hoc discussions

KW - BTM

KW - LDA

KW - Social networks

KW - Topic modeling

KW - WNTM

UR - http://www.scopus.com/inward/record.url?scp=85058627420&partnerID=8YFLogxK

U2 - 10.1145/3274856.3274881

DO - 10.1145/3274856.3274881

M3 - Conference contribution

AN - SCOPUS:85058627420

T3 - ACM International Conference Proceeding Series

SP - 122

EP - 126

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: 42853364