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Neural network methods for messages analysis in user discussions on YouTube. / Su, Shimai; Blekanov, Ivan (Author and editor).

In: Процессы управления и устойчивость, Vol. 8, No. 1, 2021, p. 372-376.

Research output: Contribution to journalArticlepeer-review

Harvard

Su, S & Blekanov, I 2021, 'Neural network methods for messages analysis in user discussions on YouTube', Процессы управления и устойчивость, vol. 8, no. 1, pp. 372-376.

APA

Su, S., & Blekanov, I. (2021). Neural network methods for messages analysis in user discussions on YouTube. Процессы управления и устойчивость, 8(1), 372-376.

Vancouver

Su S, Blekanov I. Neural network methods for messages analysis in user discussions on YouTube. Процессы управления и устойчивость. 2021;8(1):372-376.

Author

Su, Shimai ; Blekanov, Ivan. / Neural network methods for messages analysis in user discussions on YouTube. In: Процессы управления и устойчивость. 2021 ; Vol. 8, No. 1. pp. 372-376.

BibTeX

@article{f0959b3a57e640b1ae835f88e3d7d895,
title = "Neural network methods for messages analysis in user discussions on YouTube",
abstract = "With the burgeoning development of Web-space, it usually takes a few seconds for the news to be widespread. Especially, for some sensitive or widely popular events, they probably draw attention of a large amount of people who create a storm of public opinion online. Mean- while, for journalists, organizations and relevant parties, it{\textquoteright}s necessary and obliged to flexibly analyze the user{\textquoteright}s activities and comprehend the general public opinion over specific topics. YouTube as the most famous and representative social platform, which provides us such possibility. In this paper, authors mainly propose a general solution to user discussion analysis on YouTube. Combined analytic techniques and different approaches including the state-of-the-art models are being applied. In our experiment, the case of American police misconducts in dealing with a black man is taken as our example for analysis. Temporarily our model only supports English language text.",
author = "Shimai Su and Ivan Blekanov",
year = "2021",
language = "English",
volume = "8",
pages = "372--376",
journal = "Процессы управления и устойчивость",
issn = "2313-7304",
publisher = "Смирнов Николай Васильевич",
number = "1",
note = "Control Processes and Stability (CPS-21) ; Conference date: 05-04-2021 Through 09-04-2021",
url = "http://cpsconf.ru/",

}

RIS

TY - JOUR

T1 - Neural network methods for messages analysis in user discussions on YouTube

AU - Su, Shimai

A2 - Blekanov, Ivan

N1 - Conference code: CPS'21

PY - 2021

Y1 - 2021

N2 - With the burgeoning development of Web-space, it usually takes a few seconds for the news to be widespread. Especially, for some sensitive or widely popular events, they probably draw attention of a large amount of people who create a storm of public opinion online. Mean- while, for journalists, organizations and relevant parties, it’s necessary and obliged to flexibly analyze the user’s activities and comprehend the general public opinion over specific topics. YouTube as the most famous and representative social platform, which provides us such possibility. In this paper, authors mainly propose a general solution to user discussion analysis on YouTube. Combined analytic techniques and different approaches including the state-of-the-art models are being applied. In our experiment, the case of American police misconducts in dealing with a black man is taken as our example for analysis. Temporarily our model only supports English language text.

AB - With the burgeoning development of Web-space, it usually takes a few seconds for the news to be widespread. Especially, for some sensitive or widely popular events, they probably draw attention of a large amount of people who create a storm of public opinion online. Mean- while, for journalists, organizations and relevant parties, it’s necessary and obliged to flexibly analyze the user’s activities and comprehend the general public opinion over specific topics. YouTube as the most famous and representative social platform, which provides us such possibility. In this paper, authors mainly propose a general solution to user discussion analysis on YouTube. Combined analytic techniques and different approaches including the state-of-the-art models are being applied. In our experiment, the case of American police misconducts in dealing with a black man is taken as our example for analysis. Temporarily our model only supports English language text.

UR - https://www.elibrary.ru/item.asp?id=46227002

M3 - Article

VL - 8

SP - 372

EP - 376

JO - Процессы управления и устойчивость

JF - Процессы управления и устойчивость

SN - 2313-7304

IS - 1

T2 - Control Processes and Stability (CPS-21)

Y2 - 5 April 2021 through 9 April 2021

ER -

ID: 86615973