APPLICATION OF SEMANTIC MODELS IN LITERARY STUDIES AND EXPERTISE OF COPYRIGHT OBJECTS

The article examines the application of semantic models in fields copyright expertise and literary analysis. content showcases various types utilized for text analysis, such as Latent Semantic Analysis (LSA), topic modeling, named entity recognition (NER), sentiment dependency parsing. While each model has its own advantages drawbacks, challenges their utilization exist, over-reliance on quantitative biases, lack contextual information, potential misinterpretation meaning. Nevertheless, have significantly impacted field by enabling identification instances plagiarism infringement more efficiently accurately. overview presented publication essence peculiarities using analysis allows following conclusions. improve efficiency These use advanced technologies to identify structural patterns, themes, similar elements texts, well allowing experts gain a deeper understanding works they are analyzing. In expertise, used analyzing significant volumes identifying possible infringements. Although many advantages, also functional limitations. It is important be aware these limitations analytical combination with other methods ensure comprehensive text. There several ways address problems models, including combining qualitative multiple at once, taking into account selection biases studying broader context, additional verification results human experts. Ultimately, enormous practical value, but it them conjunction most objective research. As technology develops, new will developed that allow even detailed texts.