03526ntm a22005057i 4500 000726848 CZ-PrVSE 20260201122909.0 m d cr n|||||||||| 260201s2025 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Dvořáčková, Lucie ISIS:118793 dis Word embeddings and their meaning eng Word embeddings and their meaning / Lucie Dvořáčková 2025 ?? stran : digital, PDF soubor Vedoucí práce: Michal Černý Disertační práce (Ph.D.)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, 2026 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2026 Embedding models represent techniques that convert texts into numerical vectors in a low-dimensional space, capturing the semantic and syntactic properties of the text. They were developed out of the need to represent textual data numerically so that it can be efficiently processed by machine learning algorithms. Practical applications of embedding models include serving as inputs for classification and predictive models, machine translation, information retrieval, and other applications where understanding the meaning and structure of text is essential. In this dissertation, I focus on three tasks that expand the practical use of embeddings. The first part is devoted to predicting the potential citation impact of scientific articles; using embeddings derived from abstracts, I build models that estimate whether an article may achieve high citation counts in the future. The second part introduces a novel method for explaining embedding models, which precisely determines how individual words contribute to the prediction results, thereby providing a clear interpretation of the model. The third part addresses the explanation of semantic similarity, demonstrating how distributional statistics combined with lexical knowledge enable a better understanding of the relationships between words in the embedding space. The results of this work have the potential to improve the accuracy and efficiency of classification and predictive models in scientific analytics, while also contributing to a deeper understanding of the mechanisms by which text models process natural language. Způsob přístupu: Internet ekonometrie a operační výzkum [obor disert. práce] disertace fd132024 czenas dissertations eczenas Word embeddings Text data Explaining Černý, Michal mzk2005275013 ths Kukal, Jaromír opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 dgg https://insis.vse.cz/zp/81064/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/81064 Hlavní práce https://insis.vse.cz/zp/81064/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/81064/posudek/oponent/88815 Oponentura https://insis.vse.cz/zp/81064/posudek/oponent/88816 Oponentura https://insis.vse.cz/zp/81064/podrobnosti dc:identifier NEPOSILAT VSKP vse81064 260115 81064