Researching methods for the automatic detection of offensive language based on artificial intelligence

Fayzullaev , Nurbek, Kuchkarov , Muslimjon

Муҳандислик ва Иқтисодиёт · 2026-yil

Annotatsiya

This study explores artificial intelligence-based methods for the automatic detection of offensive language.The research focuses on the application of Natural Language Processing (NLP), machine learning, and deep learningtechniques to identify offensive, abusive, and inappropriate content in textual data. Particular attention is given to text preprocessing,feature extraction, text classification, and neural network-based approaches for improving the accuracy andefficiency of offensive language detection. The study highlights the potential of artificial intelligence to support safer digitalcommunication and enhance automated content moderation across online platforms

Maqola ma’lumotlari
MualliflarFayzullaev , Nurbek, Kuchkarov , Muslimjon
JurnalМуҳандислик ва Иқтисодиёт
NashriyotПлеханов номидаги Россия иқтисодиёти университетининг Тошкент шаҳридаги филиали
ISSN3060-463X, 3060-463X
Nashr sanasi2026-09-01
Jild4
Son9
Betlar181-185
TilIngliz
Ilmiy sohaTexnika
Indeksga qo‘shilgan2026-09-12

Maqolaning asl sahifasi

Kalit so‘zlar

Artificial intelligence, offensive language detection, natural language processing, machine learning, deep learning, neural networks, text classification, sentiment analysis, automated content moderation, abusive language, language models, social media.

Ilmiy soha

Texnika

Iqtibos keltirish

APAFayzullaev , Nurbek, & Kuchkarov , Muslimjon (2026). RESEARCHING METHODS FOR THE AUTOMATIC DETECTION OF OFFENSIVE LANGUAGE BASED ON ARTIFICIAL INTELLIGENCE. Муҳандислик ва Иқтисодиёт, 4(9), 181-185. https://muhandislik-iqtisodiyot.uz/index.php/journal/article/view/4218
GOST (OAK)Fayzullaev , Nurbek, Kuchkarov , Muslimjon RESEARCHING METHODS FOR THE AUTOMATIC DETECTION OF OFFENSIVE LANGUAGE BASED ON ARTIFICIAL INTELLIGENCE // Муҳандислик ва Иқтисодиёт. – 2026. – T. 4, № 9. – P. 181-185.
MLAFayzullaev , Nurbek, and Kuchkarov , Muslimjon. “RESEARCHING METHODS FOR THE AUTOMATIC DETECTION OF OFFENSIVE LANGUAGE BASED ON ARTIFICIAL INTELLIGENCE.” Муҳандислик ва Иқтисодиёт, 4(9), 181-185, 2026. https://muhandislik-iqtisodiyot.uz/index.php/journal/article/view/4218
ChicagoFayzullaev , Nurbek, and Kuchkarov , Muslimjon. “RESEARCHING METHODS FOR THE AUTOMATIC DETECTION OF OFFENSIVE LANGUAGE BASED ON ARTIFICIAL INTELLIGENCE.” Муҳандислик ва Иқтисодиёт, 4(9), 181-185 (2026). https://muhandislik-iqtisodiyot.uz/index.php/journal/article/view/4218
HarvardFayzullaev , Nurbek, and Kuchkarov , Muslimjon (2026) ‘RESEARCHING METHODS FOR THE AUTOMATIC DETECTION OF OFFENSIVE LANGUAGE BASED ON ARTIFICIAL INTELLIGENCE’, Муҳандислик ва Иқтисодиёт, 4(9), 181-185. https://muhandislik-iqtisodiyot.uz/index.php/journal/article/view/4218
BibTeX
@article{fayzullaevnurbek2026,
  title = {RESEARCHING METHODS FOR THE AUTOMATIC DETECTION OF OFFENSIVE LANGUAGE BASED ON ARTIFICIAL INTELLIGENCE},
  author = {Fayzullaev , Nurbek and Kuchkarov , Muslimjon},
  journal = {Муҳандислик ва Иқтисодиёт},
  year = {2026},
  volume = {4},
  number = {9},
  pages = {181-185},
  url = {https://muhandislik-iqtisodiyot.uz/index.php/journal/article/view/4218}
}

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