, Russian Federation
, Russian Federation
, Russian Federation
This article discusses the application of the frequency-context classification algorithm to texts of various styles. The main features of different styles that affect the efficiency of the algo-rithm are highlighted. It is proved that the method of selecting the subject of the text using the fre-quency-context classification algorithm works best in relation to scientific and legal documents and, in its current form, is practically inapplicable for literary texts. This makes the task of modifying the algorithm to determine the subject of literary texts relevant.
frequency-context classification, subject matter, texts, text styles
1. Lavlinskiy, V.V. Informacionnye sistemy dlya izvlecheniya dannyh iz nestrukturirovannogo teksta s ispol'zovaniem ontologiy / V.V. Lavlinskiy, Yu.O. Zol'nikova // Modelirovanie sistem i processov. – 2018. – T. 11, № 3. – S. 30-34.
2. Lavlinskiy, V.V. Pravila formirovaniya slozhnyh svyazey iz nestrukturirovannogo teksta / V.V. Lavlinskiy, Yu.O. Zol'nikova // Modelirovanie sistem i processov. – 2018. – T. 11, № 3. – S. 34-39.
3. Rozental' D.E. Spravochnik po russkomu yazyku. Prakticheskaya stilistika / D.E. Rozental' //Izdatel'skiy dom «ONIKS 21 vek»: Mir i obrazovanie. – 2001. – 381 s.
4. Hazeev, D.R. Prilozhenie neyronnyh setey k opredeleniyu stilya teksta / D.R. Hazeev // Novye informacionnye tehnologii v avtomatizirovannyh sistemah. – 2019. – № 22. – S. 121-124.
5. Graschenko, L.A. Bibliograficheskie ssylki kak faktor kvalimetrii nauchnyh tekstov / L.A. Graschenko, G.V. Romanishin // Novye informacionnye tehnologii v avtomatizirovannyh sistemah. – 2017. – №20. – S. 89-94.
6. Stilisticheskiy enciklopedicheskiy slovar' russkogo yazyka ; pod red. M.N. Kozhinoy. – M. : Flinta: Nauka, 2011. – 696 s.
7. Chubur, T.A. Diskursivnaya ob'ektivaciya verbal'nomental'nyh edinic v russkoy i angliyskoy lingvokonceptosferah v rakurse zakonomernostey istoricheskih izmeneniy yazyka / T.A. Chubur // Modelirovanie sistem i proces-sov. – 2017. – T. 10, № 1. – S. 76-80.
8. Lavlinskiy, V.V. Primenenie matematicheskogo opisaniya deystviy dlya celenapravlennyh sistem na osnove metodov neyronnyh setey / V.V. Lavlinskiy, S.N. Yan'shin // Modelirovanie sistem i processov. – 2017. – T. 10, № 2. – S. 17-23.
9. Lavlinskiy, V.V. Teoreticheskie osnovy formirovaniya modeley i metodov vzaimodeystviya informacionnyh processov / V.V. Lavlinskiy, I.I. Strukov // Modelirovanie sistem i processov. – 2018. – T. 11, № 2. – S.31-37.
