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An approach to filtering prohibited content on the web. / Sidorova, E. A.; Kononenko, I. S.; Zagorulko, Yu A.

In: CEUR Workshop Proceedings, Vol. 2022, 01.01.2017, p. 64-71.

Research output: Contribution to journal › Conference article › peer-review

Harvard

Sidorova, EA, Kononenko, IS & Zagorulko, YA 2017, 'An approach to filtering prohibited content on the web', CEUR Workshop Proceedings, vol. 2022, pp. 64-71.

APA

Sidorova, E. A., Kononenko, I. S., & Zagorulko, Y. A. (2017). An approach to filtering prohibited content on the web. CEUR Workshop Proceedings, 2022, 64-71.

Vancouver

Sidorova EA, Kononenko IS, Zagorulko YA. An approach to filtering prohibited content on the web. CEUR Workshop Proceedings. 2017 Jan 1;2022:64-71.

Author

Sidorova, E. A. ; Kononenko, I. S. ; Zagorulko, Yu A. / An approach to filtering prohibited content on the web. In: CEUR Workshop Proceedings. 2017 ; Vol. 2022. pp. 64-71.

BibTeX

@article{ee9af211d1a644379fdda1b43ab9b2fc,
title = "An approach to filtering prohibited content on the web",
abstract = "The institution of legislative regulation of the content of information resources has aggravated the problem of automatic detection and blocking of prohibited content. We propose an approach to solving this problem. In this approach, a thematic analysis of websites is complemented by a genre one, which allows identification of the activity carried out through a website and, therefore, brings about a more accurate recognition and localization of the illicit content. The decision on the presence of prohibited content on a website page is made on the basis of both analysis of the page text content and results of thematic and genre analysis of the site as a whole. Software and Russian-language resources for the detection of prohibited content related to the topic {"}Drug addiction and drugs{"} have been developed.",
keywords = "Filtering prohibited content, Thematic text analysis, Website classification, Website genre analysis",
author = "Sidorova, {E. A.} and Kononenko, {I. S.} and Zagorulko, {Yu A.}",
year = "2017",
month = jan,
day = "1",
language = "English",
volume = "2022",
pages = "64--71",
journal = "CEUR Workshop Proceedings",
issn = "1613-0073",
publisher = "CEUR-WS",

}

RIS

TY - JOUR

T1 - An approach to filtering prohibited content on the web

AU - Sidorova, E. A.

AU - Kononenko, I. S.

AU - Zagorulko, Yu A.

PY - 2017/1/1

Y1 - 2017/1/1

N2 - The institution of legislative regulation of the content of information resources has aggravated the problem of automatic detection and blocking of prohibited content. We propose an approach to solving this problem. In this approach, a thematic analysis of websites is complemented by a genre one, which allows identification of the activity carried out through a website and, therefore, brings about a more accurate recognition and localization of the illicit content. The decision on the presence of prohibited content on a website page is made on the basis of both analysis of the page text content and results of thematic and genre analysis of the site as a whole. Software and Russian-language resources for the detection of prohibited content related to the topic "Drug addiction and drugs" have been developed.

AB - The institution of legislative regulation of the content of information resources has aggravated the problem of automatic detection and blocking of prohibited content. We propose an approach to solving this problem. In this approach, a thematic analysis of websites is complemented by a genre one, which allows identification of the activity carried out through a website and, therefore, brings about a more accurate recognition and localization of the illicit content. The decision on the presence of prohibited content on a website page is made on the basis of both analysis of the page text content and results of thematic and genre analysis of the site as a whole. Software and Russian-language resources for the detection of prohibited content related to the topic "Drug addiction and drugs" have been developed.

KW - Filtering prohibited content

KW - Thematic text analysis

KW - Website classification

KW - Website genre analysis

UR - http://www.scopus.com/inward/record.url?scp=85040666023&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85040666023

VL - 2022

SP - 64

EP - 71

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

ER -

ID: 10455392