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22nd International Symposium INFOTEHJAHORINA, 1517 March 2023Automated Authorship Attribution using CNG Distance on Blog Posts in the Serbian Language Vlad Keel Faculty of Computer Science Jalousie
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Automated authorship attribution is a process that uses computational techniques to determine the authorship of a text based on linguistic features and patterns.
Individuals or organizations engaged in publishing, research, or academic writing may be required to file automated authorship attribution when applicable, particularly in contexts where authorship attribution is legally or ethically mandated.
To fill out automated authorship attribution, one must gather relevant textual data and apply specific software tools that analyze linguistic features to produce authorship profiles and correlations.
The purpose of automated authorship attribution is to accurately identify the authors of texts, ensuring intellectual property rights are respected and aiding in the verification of authenticity in various fields.
The information that must be reported may include the analysis results, authorship predictions, metadata about the text, and the methodologies used in the attribution process.
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