Functionality of the Automatic System for Linguistic and Statistical Analytics of Ukrainian-Language Media Texts – Textattributor 1.0 (User Manual)
Bibliographic Data
| ID | 21780064 |
|---|---|
| Authors | Oksana Zuban (0000-0002-2644-3892, corresponding author) |
| Year | 2024 |
| Issue | 36 |
| Pages | 119-127 |
| Publication date | 2024-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Bulletin of Taras Shevchenko National University of Kyiv Literary Studies Linguistics Folklore Studies (JOURNAL) |
| Journal identifiers | ISSN: 1728-2659 • E-ISSN: 2709-8494 |
| Publisher | Taras Shevchenko National University of Kyiv (PUBLISHER • UA) |
| DOI | 10.17721/1728-2659.2024.36.21 |
| OpenAlex | W4404066954 |
| Language | EN |
| References cited | 2 |
The review article presents a user manual that introduces the functionality and operation of the automatic system for parameterizing Ukrainian-language media texts TextAttributor 1.0. This system is implemented as a web application (http://ta.mova.info/), which allows users to interactively perform a linguistic and statistical analysis of the input text and obtain statistical data on the parameterization of Ukrainian-language media text according to 18 statistical parameters. The system's functionality also generates an expert conclusion of the linguistic and statistical analysis of the text. It provides a graphical visualization of stylometric comparisons between one or two texts and the benchmark statistical characteristics of the Ukrainian-language media style. The individual modules of the system include 1) the Text Attribution Comparison module, which determines the degree of similarity between two texts selected by the user in the task of establishing authorship; 2) the Linguistic Expertise of Text Toxicity module, in which the user receives systematized linguistic and statistical data on the toxicity of a Ukrainian-language media text. The system is designed for researchers and general users interested in text information analytics to evaluate media texts in tasks such as authorship verification, psycholinguistic profiling, style modeling, text information filtering in automated internet monitoring, and tracking distributors of toxic texts. Free access to the TextAttributor 1.0 web application, a convenient interface, and the systematization of linguistic expert analytics of Ukrainian-language media texts provide users with broad opportunities to obtain the necessary information. The user manual was embedded on the website first, but now it is being published
Analytics · Data science · Linguistics · Natural language processing · Ukrainian · Computer Science · Diverse Scientific Research in Ukraine · Information Systems and Technology Applications · Literature, Language, and Rhetoric Studies · Philosophy · Artificial Intelligence
| Highly cited | No |
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