Algorithm for constructing six-dimensional tensor for the problem finding hidden semantic relations into the case of natural language texts
The paper presents an algorithm for constructing six-dimensional tensor containing statistical information on the syntactic structure of sentences. Conducting preliminary analysis of natural language texts aids was described. An example of Non-negaitve Tensor Factorization algorithm highlighting com...
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| Published in: | PROBLEMS IN PROGRAMMING |
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| Date: | 2025 |
| Issue: | 2-3 |
| Pages: | 273-278 |
| ISSN: | 1727-4907 |
| Author Affiliations: |
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| Keywords: | text mining, дозволяє семантичним пошуко- вим системам долати багато з недоліків, textmining, статистична структура тексту, part-ofspeech pos tagging, small language models, векторизація тексту, large language models, statistical linguistics, syntactical construction |
| Main Author: | |
| Format: | Article |
| Language: | Ukrainian |
| Published: |
PROBLEMS IN PROGRAMMING
2025
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| Subjects: | |
| Online Access: | https://pp.isofts.kiev.ua/index.php/ojs1/article/view/720 |
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| Journal Title: | Problems in programming |
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Problems in programming| Summary: | The paper presents an algorithm for constructing six-dimensional tensor containing statistical information on the syntactic structure of sentences. Conducting preliminary analysis of natural language texts aids was described. An example of Non-negaitve Tensor Factorization algorithm highlighting common semantic relations of sentences was given.Prombles in programming 2014; 2-3: 273-278 |
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| ISSN: | 1727-4907 |