Kullanım Kılavuzu
Neden sadece 3 sonuç görüntüleyebiliyorum?
Sadece üye olan kurumların ağından bağlandığınız da tüm sonuçları görüntüleyebilirsiniz. Üye olmayan kurumlar için kurum yetkililerinin başvurması durumunda 1 aylık ücretsiz deneme sürümü açmaktayız.
Benim olmayan çok sonuç geliyor?
Birçok kaynakça da atıflar "Soyad, İ" olarak gösterildiği için özellikle Soyad ve isminin baş harfi aynı olan akademisyenlerin atıfları zaman zaman karışabilmektedir. Bu sorun tüm dünyadaki atıf dizinlerinin sıkça karşılaştığı bir sorundur.
Sadece ilgili makaleme yapılan atıfları nasıl görebilirim?
Makalenizin ismini arattıktan sonra detaylar kısmına bastığınız anda seçtiğiniz makaleye yapılan atıfları görebilirsiniz.
 Görüntüleme 23
 İndirme 3
Development of the quantitative method for automated text content authorship attribution based on the statistical analysis of N-grams distribution
2019
Dergi:  
Eastern-European Journal of Enterprise Technologies
Yazar:  
Özet:

The peculiarities of the application of linguo-statistics technologies for the identification of the style of the author of text content of scientific and technical profile are considered. Quantitative linguistic analysis of a text uses the benefits of content monitoring based on the NLP methods to identify and analyze the set of stop words, keywords, set phrases and to study N-gram. The latter are used in the linguometry methods to determine in per cent if the given text belongs to a particular author. The quantitative method for automatic text content authorship attribution was developed based on statistical analysis of the 3-gram distribution. The approach to the implementation of identification of the author of the text in the Ukrainian language of the scientific and technical profile was proposed. Experimental results of the proposed method to determine the belonging of the analyzed text to a specific author in the presence of the reference text were obtained. Application of the linguo-statistical analysis of the 3-grams to a set of articles will make it possible to form a subset of publications that are similar in linguistic descriptions. Imposing additional conditions in the form of statistical and quantitative analyses (a set of keywords, set expressions, stylometric, linguometric analyses, etc.) on a subset will allow a significant reduction of this subset by specifying the list of the most likely author. For qualitative and effective content analysis when determining the degree of authorship of a particular author, we propose to analyze the reference text and the one under consideration at several stages: linguometric analysis of the coefficients of the diversity of the author's speech, stylometric analysis, analysis of set expressions, linguo-statistical analysis of 3-grams. For automated text processing, not only the frequency of occurrence of a certain category, but also its existence in the studied text in general are important. Quantitative computation makes it possible to draw objective conclusions about the orientation of materials by the number of using the units of analysis in the studied texts. Qualitative analysis does the same, but as a result of the study of whether (and in what context) there is a certain important original category in general Author Biographies Vasyl Lytvyn, Lviv Polytechnic National University S. Bandery str., 12, Lvіv, Ukraine, 79013 Doctor of Technical Sciences, Professor Department of Information Systems and Networks

Anahtar Kelimeler:

Atıf Yapanlar
Bilgi: Bu yayına herhangi bir atıf yapılmamıştır.
Benzer Makaleler












Eastern-European Journal of Enterprise Technologies

Alan :   Fen Bilimleri ve Matematik

Dergi Türü :   Uluslararası

Metrikler
Makale : 4.764
Atıf : 4.485
2023 Impact/Etki : 0.294
Eastern-European Journal of Enterprise Technologies