{"doi":"10.1080/02664763.2021.1919063","intvolume":" 50","date_updated":"2026-06-02T08:21:40Z","publisher":"Taylor & Francis","page":"574-591","author":[{"full_name":"Thielmann, Anton","last_name":"Thielmann","first_name":"Anton"},{"full_name":"Weisser, Christoph","orcid":"0000-0003-0616-1027","last_name":"Weisser","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-0616-1027/work/216466394","id":"264138","first_name":"Christoph"},{"first_name":"Astrid","full_name":"Krenz, Astrid","last_name":"Krenz"},{"full_name":"Säfken, Benjamin","last_name":"Säfken","first_name":"Benjamin"}],"citation":{"apa":"Thielmann, A., Weisser, C., Krenz, A., & Säfken, B. (2021). Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling. Journal of Applied Statistics, 50(3), 574–591. https://doi.org/10.1080/02664763.2021.1919063","bibtex":"@article{Thielmann_Weisser_Krenz_Säfken_2021, title={Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling}, volume={50}, DOI={10.1080/02664763.2021.1919063}, number={3}, journal={Journal of Applied Statistics}, publisher={Taylor & Francis}, author={Thielmann, Anton and Weisser, Christoph and Krenz, Astrid and Säfken, Benjamin}, year={2021}, pages={574–591} }","alphadin":"Thielmann, Anton ; Weisser, Christoph ; Krenz, Astrid ; Säfken, Benjamin: Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling. In: Journal of Applied Statistics Bd. 50, Taylor & Francis (2021), Nr. 3, S. 574–591","ieee":"A. Thielmann, C. Weisser, A. Krenz, and B. Säfken, “Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling,” Journal of Applied Statistics, vol. 50, no. 3, pp. 574–591, 2021.","ama":"Thielmann A, Weisser C, Krenz A, Säfken B. Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling. Journal of Applied Statistics. 2021;50(3):574-591. doi:10.1080/02664763.2021.1919063","mla":"Thielmann, Anton, et al. “Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling.” Journal of Applied Statistics, vol. 50, no. 3, Taylor & Francis, 2021, pp. 574–91, doi:10.1080/02664763.2021.1919063.","short":"A. Thielmann, C. Weisser, A. Krenz, B. Säfken, Journal of Applied Statistics 50 (2021) 574–591.","chicago":"Thielmann, Anton, Christoph Weisser, Astrid Krenz, and Benjamin Säfken. “Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling.” Journal of Applied Statistics 50, no. 3 (2021): 574–91. https://doi.org/10.1080/02664763.2021.1919063."},"status":"public","_id":"6949","year":"2021","language":[{"iso":"eng"}],"date_created":"2026-06-01T13:59:03Z","article_type":"original","title":"Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling","volume":50,"quality_controlled":"1","issue":"3","publication_status":"published","publication":"Journal of Applied Statistics","publication_identifier":{"eissn":["1360-0532"],"isbn":["0266-4763"]},"type":"journal_article","user_id":"220548"}