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<titleInfo><title>Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling</title></titleInfo>


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<name type="personal">
  <namePart type="given">Anton</namePart>
  <namePart type="family">Thielmann</namePart>
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  <namePart type="given">Christoph</namePart>
  <namePart type="family">Weisser</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">264138</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0003-0616-1027</description></name>
<name type="personal">
  <namePart type="given">Astrid</namePart>
  <namePart type="family">Krenz</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
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  <namePart type="given">Benjamin</namePart>
  <namePart type="family">Säfken</namePart>
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<originInfo><publisher>Taylor &amp; Francis</publisher><dateIssued encoding="w3cdtf">2021</dateIssued>
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<relatedItem type="host"><titleInfo><title>Journal of Applied Statistics</title></titleInfo>
  <identifier type="eIssn">1360-0532</identifier>
  <identifier type="isbn">0266-4763</identifier><identifier type="doi">10.1080/02664763.2021.1919063</identifier>
<part><detail type="volume"><number>50</number></detail><detail type="issue"><number>3</number></detail><extent unit="pages">574-591</extent>
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<short>A. Thielmann, C. Weisser, A. Krenz, B. Säfken, Journal of Applied Statistics 50 (2021) 574–591.</short>
<chicago>Thielmann, Anton, Christoph Weisser, Astrid Krenz, and Benjamin Säfken. “Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling.” &lt;i&gt;Journal of Applied Statistics&lt;/i&gt; 50, no. 3 (2021): 574–91. &lt;a href=&quot;https://doi.org/10.1080/02664763.2021.1919063&quot;&gt;https://doi.org/10.1080/02664763.2021.1919063&lt;/a&gt;.</chicago>
<ama>Thielmann A, Weisser C, Krenz A, Säfken B. Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling. &lt;i&gt;Journal of Applied Statistics&lt;/i&gt;. 2021;50(3):574-591. doi:&lt;a href=&quot;https://doi.org/10.1080/02664763.2021.1919063&quot;&gt;10.1080/02664763.2021.1919063&lt;/a&gt;</ama>
<mla>Thielmann, Anton, et al. “Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling.” &lt;i&gt;Journal of Applied Statistics&lt;/i&gt;, vol. 50, no. 3, Taylor &amp;#38; Francis, 2021, pp. 574–91, doi:&lt;a href=&quot;https://doi.org/10.1080/02664763.2021.1919063&quot;&gt;10.1080/02664763.2021.1919063&lt;/a&gt;.</mla>
<ieee>A. Thielmann, C. Weisser, A. Krenz, and B. Säfken, “Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling,” &lt;i&gt;Journal of Applied Statistics&lt;/i&gt;, vol. 50, no. 3, pp. 574–591, 2021.</ieee>
<apa>Thielmann, A., Weisser, C., Krenz, A., &amp;#38; Säfken, B. (2021). Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling. &lt;i&gt;Journal of Applied Statistics&lt;/i&gt;, &lt;i&gt;50&lt;/i&gt;(3), 574–591. &lt;a href=&quot;https://doi.org/10.1080/02664763.2021.1919063&quot;&gt;https://doi.org/10.1080/02664763.2021.1919063&lt;/a&gt;</apa>
<bibtex>@article{Thielmann_Weisser_Krenz_Säfken_2021, title={Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling}, volume={50}, DOI={&lt;a href=&quot;https://doi.org/10.1080/02664763.2021.1919063&quot;&gt;10.1080/02664763.2021.1919063&lt;/a&gt;}, number={3}, journal={Journal of Applied Statistics}, publisher={Taylor &amp;#38; Francis}, author={Thielmann, Anton and Weisser, Christoph and Krenz, Astrid and Säfken, Benjamin}, year={2021}, pages={574–591} }</bibtex>
<alphadin>&lt;span style=&quot;font-variant:small-caps;&quot;&gt;Thielmann, Anton&lt;/span&gt; ; &lt;span style=&quot;font-variant:small-caps;&quot;&gt;Weisser, Christoph&lt;/span&gt; ; &lt;span style=&quot;font-variant:small-caps;&quot;&gt;Krenz, Astrid&lt;/span&gt; ; &lt;span style=&quot;font-variant:small-caps;&quot;&gt;Säfken, Benjamin&lt;/span&gt;: Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling. In: &lt;i&gt;Journal of Applied Statistics&lt;/i&gt; Bd. 50, Taylor &amp;#38; Francis (2021), Nr. 3, S. 574–591</alphadin>
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