Integration of Associative Tokens into Thematic Hyperspace: A Method for Determining Semantically Significant Clusters in Dynamic Text Streams

With the exponential growth of textual data, traditional topic modeling methods based on static analysis demonstrate limited effectiveness in tracking the dynamics of thematic content. This research aims to develop a method for quantifying the dynamics of topics within text corpora using a thematic...

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Autores principales:	Dmitriy Rodionov, Boris Lyamin, Evgenii Konnikov, Elena Obukhova, Gleb Golikov, Prokhor Polyakov
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2025-07-01
Colección:	Big Data and Cognitive Computing
Materias:	topic modeling dynamic text analysis information noise natural language processing LDA thematic entropy
Acceso en línea:	https://www.mdpi.com/2504-2289/9/8/197
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