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 Mazkur maqolada bir toifali matnli hujjatlar to’plamidan tegishli axborot borliklarini chiqarib olish va  yakuniy  hujjatga  ularni  umumlashtirish  masalasi  qaraladi.  Xususan,  Text  Mining  masalaridan  biri hisoblangan  elektron  hujjatlardagi  matnlarni  avtomatik  umumlashtirish  masalasi  hamda  umumlashtirish masalasidagi uslubiyatlaylar batafsil tadqiq etiladi.

  • Internet havola
  • DOI10.24412/2181-1431-2023-2-37-46
  • UzSCI tizimida yaratilgan sana 15-03-2024
  • O'qishlar soni 97
  • Nashr sanasi 20-04-2023
  • Asosiy tilO'zbek
  • Sahifalar37
Ўзбек

 Mazkur maqolada bir toifali matnli hujjatlar to’plamidan tegishli axborot borliklarini chiqarib olish va  yakuniy  hujjatga  ularni  umumlashtirish  masalasi  qaraladi.  Xususan,  Text  Mining  masalaridan  biri hisoblangan  elektron  hujjatlardagi  matnlarni  avtomatik  umumlashtirish  masalasi  hamda  umumlashtirish masalasidagi uslubiyatlaylar batafsil tadqiq etiladi.

Русский

В данной статье рассматривается вопрос извлечения актуальной информации из набора однокатегорийных текстовых документов и ее обобщения в итоговый документ. В частности, подробно изучен вопрос автоматического обобщение текста в электронных документах, который считается одной из задач Text Mining, и методология решение задачи обобщение текста.

English

This article discusses the issue of extracting relevant information from a set of single-category text documents and its summarization into a final document. In particular, the issue of automatic summarization of text in electronic documents, which is considered one of the tasks of Text Mining, and the methodology for solving the problem of summarization of text have been studied in detail.

№ Havola nomi
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9 S.Wang, X.Zhao, B.Li, B.Ge, D.Tang, Integrating Extractive and Abstractive Models for Long Text Summarization. Paper presented at the 2017 IEEE International Congress on Big Data (BigData Congress).
10 Wafaa S. El-Kassas, Cherif R. Salama, Ahmed A. Rafea, Hoda K. Mohamed Automatic Text Summarization: A Comprehensive Survey. Expert Systems with Applications. July 2020. 165(4):113679. DOI: 10.1016/j.eswa.2020.113679
11 X.B.Kenjayev ,Elektron hujjatlarda jadvallar tuzilishini tanib olish // International Journal of Education, Social Science & Humanities. Finland Academic Research Science Publishers. Vol-11. Issue-7. 2023
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