Unsupervised document classification integrating web scraping, one-class SVM and LDA topic modelling

DOI10.1080/02664763.2021.1919063OpenAlexW3157512552MaRDI QIDQ6157133

Christoph Weisser, Anton Thielmann, Benjamin Säfken, Astrid Krenz

Publication date: 19 June 2023

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930816

zbMATH Keywords

machine learningone-class SVMweb scrapingLDA topic modelout-of-domain training dataunsupervised document classification

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Editorial to the special issue: Statistical Approaches for Big Data and Machine Learning

Cites Work

• Estimating the Support of a High-Dimensional Distribution
• 10.1162/15324430260185574
• 10.1162/jmlr.2003.3.4-5.993
• One-Class Support Vector Machine and LDA Topic Model Integration—Evidence for AI Patents
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