Deep learning models in analyzing textual content in social networks

Комила, Обидова

Al-Farg'oniy avlodlari · 2026-yil

Annotatsiya

This article studies the effectiveness of modern deep learning models for the task of deep contextual analysis of text data in social networks. As part of the study, the ability of RNN, LSTM and DistilBERT models based on the transformer architecture to classify sentiment and topic (religious, social, political) based on a dataset compiled from user comments was compared. The dataset was first cleaned and normalized, and then the models were trained in a dual-task (sentiment and topic) mode.

Maqola ma’lumotlari
MualliflarКомила, Обидова
JurnalAl-Farg'oniy avlodlari
NashriyotТАТУ Фарғона филиали
ISSN2181-4252
Nashr sanasi2026-03-26
Son1
Betlar295-303
TilIngliz
Ilmiy sohaTexnika
Indeksga qo‘shilgan2026-08-26

Maqolaning asl sahifasi

Kalit so‘zlar

Deep learning, , sentiment analysis, topic detection, social networks, RNN, LSTM, DistilBERT, transformer models, contextual analysis, text classification., глубокое обучение, анализ настроений, определение тем, социальные сети, RNN, LSTM, DistilBERT, модели трансформеров, контекстный анализ, Chuqur o‘qitish, sentiment tahlili, mavzu aniqlash, ijtimoiy tarmoqlar, RNN, LSTM, DistilBERT, transformer modellari, , kriptotahlil usullari, matn tasnifi.

Ilmiy soha

Texnika

Iqtibos keltirish

APAКомила, Обидова (2026). DEEP LEARNING MODELS IN ANALYZING TEXTUAL CONTENT IN SOCIAL NETWORKS. Al-Farg'oniy avlodlari, (1), 295-303. https://al-fargoniy.uz/index.php/journal/article/view/1078
GOST (OAK)Комила, Обидова DEEP LEARNING MODELS IN ANALYZING TEXTUAL CONTENT IN SOCIAL NETWORKS // Al-Farg'oniy avlodlari. – 2026. – № 1. – P. 295-303.
MLAКомила, Обидова. “DEEP LEARNING MODELS IN ANALYZING TEXTUAL CONTENT IN SOCIAL NETWORKS.” Al-Farg'oniy avlodlari, (1), 295-303, 2026. https://al-fargoniy.uz/index.php/journal/article/view/1078
ChicagoКомила, Обидова. “DEEP LEARNING MODELS IN ANALYZING TEXTUAL CONTENT IN SOCIAL NETWORKS.” Al-Farg'oniy avlodlari, (1), 295-303 (2026). https://al-fargoniy.uz/index.php/journal/article/view/1078
HarvardКомила, Обидова (2026) ‘DEEP LEARNING MODELS IN ANALYZING TEXTUAL CONTENT IN SOCIAL NETWORKS’, Al-Farg'oniy avlodlari, (1), 295-303. https://al-fargoniy.uz/index.php/journal/article/view/1078
BibTeX
@article{article2026,
  title = {DEEP LEARNING MODELS IN ANALYZING TEXTUAL CONTENT IN SOCIAL NETWORKS},
  author = {Комила, Обидова},
  journal = {Al-Farg'oniy avlodlari},
  year = {2026},
  number = {1},
  pages = {295-303},
  url = {https://al-fargoniy.uz/index.php/journal/article/view/1078}
}

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