Analysis of Short Texts Using Intelligent Clustering Methods

Analysis of Short Texts Using Intelligent Clustering Methods

This article presents a comprehensive review of short text clustering using state-of-the-art methods: Bidirectional Encoder Representations from Transformers (BERT), Term Frequency-Inverse Document Frequency (TF-IDF), and the novel hybrid method Latent Dirichlet Allocation + BERT + Autoencoder (LDA...

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Bibliographic Details
Main Authors: Jamalbek Tussupov, Akmaral Kassymova, Ayagoz Mukhanova, Assyl Bissengaliyeva, Zhanar Azhibekova, Moldir Yessenova, Zhanargul Abuova
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Algorithms
Subjects:
clustering methods
semantic extraction
categorization of text
hybrid method
NLP systems
Online Access:https://www.mdpi.com/1999-4893/18/5/289
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