[{"_id":"6949","year":"2021","language":[{"iso":"eng"}],"doi":"10.1080/02664763.2021.1919063","intvolume":"        50","date_updated":"2026-06-02T08:21:40Z","publisher":"Taylor & Francis","page":"574-591","author":[{"first_name":"Anton","last_name":"Thielmann","full_name":"Thielmann, 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"},{"last_name":"Krenz","full_name":"Krenz, Astrid","first_name":"Astrid"},{"last_name":"Säfken","full_name":"Säfken, Benjamin","first_name":"Benjamin"}],"citation":{"chicago":"Thielmann, Anton, Christoph Weisser, Astrid Krenz, and Benjamin Säfken. “Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling.” <i>Journal of Applied Statistics</i> 50, no. 3 (2021): 574–91. <a href=\"https://doi.org/10.1080/02664763.2021.1919063\">https://doi.org/10.1080/02664763.2021.1919063</a>.","short":"A. Thielmann, C. Weisser, A. Krenz, B. Säfken, Journal of Applied Statistics 50 (2021) 574–591.","ama":"Thielmann A, Weisser C, Krenz A, Säfken B. Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling. <i>Journal of Applied Statistics</i>. 2021;50(3):574-591. doi:<a href=\"https://doi.org/10.1080/02664763.2021.1919063\">10.1080/02664763.2021.1919063</a>","mla":"Thielmann, Anton, et al. “Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling.” <i>Journal of Applied Statistics</i>, vol. 50, no. 3, Taylor &#38; Francis, 2021, pp. 574–91, doi:<a href=\"https://doi.org/10.1080/02664763.2021.1919063\">10.1080/02664763.2021.1919063</a>.","ieee":"A. Thielmann, C. Weisser, A. Krenz, and B. Säfken, “Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling,” <i>Journal of Applied Statistics</i>, vol. 50, no. 3, pp. 574–591, 2021.","apa":"Thielmann, A., Weisser, C., Krenz, A., &#38; Säfken, B. (2021). Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling. <i>Journal of Applied Statistics</i>, <i>50</i>(3), 574–591. <a href=\"https://doi.org/10.1080/02664763.2021.1919063\">https://doi.org/10.1080/02664763.2021.1919063</a>","bibtex":"@article{Thielmann_Weisser_Krenz_Säfken_2021, title={Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling}, volume={50}, DOI={<a href=\"https://doi.org/10.1080/02664763.2021.1919063\">10.1080/02664763.2021.1919063</a>}, number={3}, journal={Journal of Applied Statistics}, publisher={Taylor &#38; Francis}, author={Thielmann, Anton and Weisser, Christoph and Krenz, Astrid and Säfken, Benjamin}, year={2021}, pages={574–591} }","alphadin":"<span style=\"font-variant:small-caps;\">Thielmann, Anton</span> ; <span style=\"font-variant:small-caps;\">Weisser, Christoph</span> ; <span style=\"font-variant:small-caps;\">Krenz, Astrid</span> ; <span style=\"font-variant:small-caps;\">Säfken, Benjamin</span>: Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling. In: <i>Journal of Applied Statistics</i> Bd. 50, Taylor &#38; Francis (2021), Nr. 3, S. 574–591"},"status":"public","publication_status":"published","issue":"3","publication":"Journal of Applied Statistics","type":"journal_article","publication_identifier":{"isbn":["0266-4763"],"eissn":["1360-0532"]},"user_id":"220548","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"}]