Method of the Artificial Texts Identification based on the Calculation of the Belonging Measure to the Invariants
Keywords:
automatically generated texts, artificial texts, massively generated texts, text features, text attributionAbstract
The work is devoted to the identification of texts generated automatically (artificially) with the use of software algorithms. This is an important and topical issue, because such texts are being widely spread on the Internet. Created «copies» of the web pages are used to attract readers to online resources as well as to disseminate a large number of unique copies of pages with content specific orientation. This article describes the features of determining the origin of the text by the example of working on texts generated by synonymization as the most common method of generating artificial web content. The author provides an invariant of artificial texts as a set of the values of text characteristics, which allows classification of texts according to the process of their creation. The article proposes a method of the artificial texts identification based on the calculation of the belonging measure to the invariants, which allows making a decision about the origin of the text. The article also presents values obtained from the experiments on identifying artificial texts.References
Published
2016-12-15
How to Cite
Shumskaya, A. (2016). Method of the Artificial Texts Identification based on the Calculation of the Belonging Measure to the Invariants. SPIIRAS Proceedings, 6(49), 104-121. https://doi.org/10.15622/sp.49.6
Section
Methods of Information Processing and Control
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