This article focuses on the vectorization of textual data using a one-hot encoding algorithm based on quantum computing. The proposed quantum one-hot encoding algorithm enables each word to be represented as a quantum state through vectors. For the experiments, real-world complaints were collected and classified by service type. Features generated via both classical and quantum one-hot algorithms were used for classification through models such as Decision Tree, Random Forest, Naive Bayes, and Passive Aggressive. The research results indicate that the quantum one-hot encoding algorithm provides approximately 10% higher accuracy compared to the classical approach. Among the classifiers, the Passive Aggressive model achieved the highest accuracy of 94%. These findings confirm that the quantum one-hot encoding method is highly efficient and holds promise for natural language processing tasks. The approach is recommended as an effective complement to traditional encoding techniques.
| Mualliflar | Ниёзматова , Н.А., Маматов , Н.С., Турғунова , Н.М. |
|---|---|
| Jurnal | Темир йўл транспорти: долзарб масалалар ва инновациялар |
| Nashriyot | Тошкент давлат транспорт университети |
| ISSN | 2181-953X |
| Nashr sanasi | 2026-09-10 |
| Jild | 6 |
| Son | 2 |
| Betlar | 119-124 |
| Til | Ingliz |
| Ilmiy soha | Texnika |
| Indeksga qo‘shilgan | 2026-09-11 |
Квантовое one-hot кодирование, классификация текста, машинное обучение, Decision Tree, Random Forest, Naive Bayes, Passive Aggressive, текстовые жалобы., Quantum one-hot encoding, text classification, machine learning, Decision Tree, Random Forest, Naive Bayes, Passive Aggressive, textual complaints.
| APA | Ниёзматова , Н.А., Маматов , Н.С., & Турғунова , Н.М. (2026). QUANTUM ONE-HOT ENCODING ALGORITHM FOR TEXT VECTORIZATION: QUANTUM ONE-HOT ENCODING ALGORITHM FOR TEXT VECTORIZATION. Темир йўл транспорти: долзарб масалалар ва инновациялар, 6(2), 119-124. https://transportjournals.com/index.php/InnoTrans/article/view/214 |
|---|---|
| GOST (OAK) | Ниёзматова , Н.А., Маматов , Н.С., Турғунова , Н.М. QUANTUM ONE-HOT ENCODING ALGORITHM FOR TEXT VECTORIZATION: QUANTUM ONE-HOT ENCODING ALGORITHM FOR TEXT VECTORIZATION // Темир йўл транспорти: долзарб масалалар ва инновациялар. – 2026. – T. 6, № 2. – P. 119-124. |
| MLA | Ниёзматова , Н.А., Маматов , Н.С., and Турғунова , Н.М. “QUANTUM ONE-HOT ENCODING ALGORITHM FOR TEXT VECTORIZATION: QUANTUM ONE-HOT ENCODING ALGORITHM FOR TEXT VECTORIZATION.” Темир йўл транспорти: долзарб масалалар ва инновациялар, 6(2), 119-124, 2026. https://transportjournals.com/index.php/InnoTrans/article/view/214 |
| Chicago | Ниёзматова , Н.А., Маматов , Н.С., and Турғунова , Н.М. “QUANTUM ONE-HOT ENCODING ALGORITHM FOR TEXT VECTORIZATION: QUANTUM ONE-HOT ENCODING ALGORITHM FOR TEXT VECTORIZATION.” Темир йўл транспорти: долзарб масалалар ва инновациялар, 6(2), 119-124 (2026). https://transportjournals.com/index.php/InnoTrans/article/view/214 |
| Harvard | Ниёзматова , Н.А., Маматов , Н.С., and Турғунова , Н.М (2026) ‘QUANTUM ONE-HOT ENCODING ALGORITHM FOR TEXT VECTORIZATION: QUANTUM ONE-HOT ENCODING ALGORITHM FOR TEXT VECTORIZATION’, Темир йўл транспорти: долзарб масалалар ва инновациялар, 6(2), 119-124. https://transportjournals.com/index.php/InnoTrans/article/view/214 |
| BibTeX | @article{article2026,
title = {QUANTUM ONE-HOT ENCODING ALGORITHM FOR TEXT VECTORIZATION: QUANTUM ONE-HOT ENCODING ALGORITHM FOR TEXT VECTORIZATION},
author = {Ниёзматова , Н.А. and Маматов , Н.С. and Турғунова , Н.М.},
journal = {Темир йўл транспорти: долзарб масалалар ва инновациялар},
year = {2026},
volume = {6},
number = {2},
pages = {119-124},
url = {https://transportjournals.com/index.php/InnoTrans/article/view/214}
} |
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