Choosing a Name for a Text Cluster

Student: Dmitrii Malkov

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2024

This work is focused on the research of methods for generating names for clusters of text documents. The problem is relevant in the context of the increasing volume of user-generated data, which requires innovative solutions for effective information analysis. The study explores the use of modern natural language processing methods, including large language models, to improve the accuracy and relevance of cluster titles. The main goals of the research include the development of a data processing system and the execution of a series of experiments to evaluate the quality of the applied methods.

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