Automated Linguistic Profiling of Disputed Texts in the Uzbek Language: A Model Based on Hybrid Vectorization and Support Vector Machine (SVM)

Raupov, Mekhroj

Lingvospektr · 2026-yil

Annotatsiya

The article proposes a model for the automated linguistic profiling of disputed texts in the Uzbek language. The aim is to develop a methodology that, for forensic-linguistic examination, determines in a quantitative, reproducible and interpretable manner the probabilistic socio-demographic characteristics of an author, namely gender, age and region, as well as the legal classification of a text into insult, defamation or neutral. The methodology integrates Biber’s register analysis, Lakoff’s language-and-gender theory and Nini’s theory of linguistic individuality, adapting them to the agglutinative nature of Uzbek. Features are vectorized using a hybrid TF-IDF and FastText method, while a separate Support Vector Machine classifier is applied to each profiling task. The results are demonstrated through worked examples of TF-IDF weighting, character n-gram extraction and a confusion matrix. The proposed model operates interpretably and accurately under conditions of mixed Latin-Cyrillic writing and morphological richness. Thus, the study offers a codeable, interpretable and ethically constrained model for Uzbek forensic linguistics.

Maqola ma’lumotlari
MualliflarRaupov, Mekhroj
JurnalLingvospektr
NashriyotЎзбекистон давлат жаҳон тиллари университети, “Modern Scientific Research” MChJ
ISSN3060-4958
Nashr sanasi2026-07-03
Jild6
Son1
Betlar54-61
TilIngliz
Ilmiy sohaFilologiya
Indeksga qo‘shilgan2026-08-26

Maqolaning asl sahifasi

Kalit so‘zlar

linguistic profiling, disputed text, forensic linguistics, support vector machine, hybrid vectorization, character n-grams, Uzbek language, idiolect

Ilmiy soha

Filologiya

Iqtibos keltirish

APARaupov, Mekhroj (2026). Automated Linguistic Profiling of Disputed Texts in the Uzbek Language: A Model Based on Hybrid Vectorization and Support Vector Machine (SVM). Lingvospektr, 6(1), 54-61. https://lingvospektr.uz/index.php/lngsp/article/view/1786
GOST (OAK)Raupov, Mekhroj Automated Linguistic Profiling of Disputed Texts in the Uzbek Language: A Model Based on Hybrid Vectorization and Support Vector Machine (SVM) // Lingvospektr. – 2026. – T. 6, № 1. – P. 54-61.
MLARaupov, Mekhroj. “Automated Linguistic Profiling of Disputed Texts in the Uzbek Language: A Model Based on Hybrid Vectorization and Support Vector Machine (SVM).” Lingvospektr, 6(1), 54-61, 2026. https://lingvospektr.uz/index.php/lngsp/article/view/1786
ChicagoRaupov, Mekhroj. “Automated Linguistic Profiling of Disputed Texts in the Uzbek Language: A Model Based on Hybrid Vectorization and Support Vector Machine (SVM).” Lingvospektr, 6(1), 54-61 (2026). https://lingvospektr.uz/index.php/lngsp/article/view/1786
HarvardRaupov, Mekhroj (2026) ‘Automated Linguistic Profiling of Disputed Texts in the Uzbek Language: A Model Based on Hybrid Vectorization and Support Vector Machine (SVM)’, Lingvospektr, 6(1), 54-61. https://lingvospektr.uz/index.php/lngsp/article/view/1786
BibTeX
@article{raupovmekhroj2026,
  title = {Automated Linguistic Profiling of Disputed Texts in the Uzbek Language: A Model Based on Hybrid Vectorization and Support Vector Machine (SVM)},
  author = {Raupov, Mekhroj},
  journal = {Lingvospektr},
  year = {2026},
  volume = {6},
  number = {1},
  pages = {54-61},
  url = {https://lingvospektr.uz/index.php/lngsp/article/view/1786}
}

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