Approach for Multi-Label Text Data Class Verification and Adjustment Based on Self-Organizing Map and Latent Semantic Analysis

DOI10.15388/22-INFOR473zbMath1487.68237OpenAlexW4205727137MaRDI QIDQ5069702

Pavel Stefanovič, Olga Kurasova

Publication date: 19 April 2022

Published in: Informatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.15388/22-infor473

zbMATH Keywords

clusteringlatent semantic analysisself-organizing mapLithuanian languagemulti-label text data

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Natural language processing (68T50)

Uses Software

• Orange

Cites Work

• A comparative review of dimension reduction methods in approximate Bayesian computation
• 10.1162/jmlr.2003.3.4-5.993
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