{"language":[{"iso":"eng"}],"year":"2023","_id":"6944","status":"public","author":[{"first_name":"Christoph","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-0616-1027/work/216491994","id":"264138","orcid":"0000-0003-0616-1027","full_name":"Weisser, Christoph","last_name":"Weisser"},{"last_name":"Gerloff","full_name":"Gerloff, Christoph","first_name":"Christoph"},{"last_name":"Thielmann","full_name":"Thielmann, Anton","first_name":"Anton"},{"full_name":"Säfken, Benjamin","last_name":"Säfken","first_name":"Benjamin"},{"last_name":"Python","full_name":"Python, Andre","first_name":"Andre"},{"first_name":"Thomas","full_name":"Kneib, Thomas","last_name":"Kneib"},{"first_name":"Arik","last_name":"Reuter","full_name":"Reuter, Arik"}],"citation":{"ama":"Weisser C, Gerloff C, Thielmann A, et al. Pseudo-Document Simulation Method for Topic Model Evaluation on Short and Sparse Text Using Twitter Data. Computational Statistics. 2023;38(4):647-674. doi:10.1007/s00180-022-01246-z","mla":"Weisser, Christoph, et al. “Pseudo-Document Simulation Method for Topic Model Evaluation on Short and Sparse Text Using Twitter Data.” Computational Statistics, vol. 38, no. 4, Springer, 2023, pp. 647–74, doi:10.1007/s00180-022-01246-z.","short":"C. Weisser, C. Gerloff, A. Thielmann, B. Säfken, A. Python, T. Kneib, A. Reuter, Computational Statistics 38 (2023) 647–674.","chicago":"Weisser, Christoph, Christoph Gerloff, Anton Thielmann, Benjamin Säfken, Andre Python, Thomas Kneib, and Arik Reuter. “Pseudo-Document Simulation Method for Topic Model Evaluation on Short and Sparse Text Using Twitter Data.” Computational Statistics 38, no. 4 (2023): 647–74. https://doi.org/10.1007/s00180-022-01246-z.","apa":"Weisser, C., Gerloff, C., Thielmann, A., Säfken, B., Python, A., Kneib, T., & Reuter, A. (2023). Pseudo-Document Simulation Method for Topic Model Evaluation on Short and Sparse Text Using Twitter Data. Computational Statistics, 38(4), 647–674. https://doi.org/10.1007/s00180-022-01246-z","bibtex":"@article{Weisser_Gerloff_Thielmann_Säfken_Python_Kneib_Reuter_2023, title={Pseudo-Document Simulation Method for Topic Model Evaluation on Short and Sparse Text Using Twitter Data}, volume={38}, DOI={10.1007/s00180-022-01246-z}, number={4}, journal={Computational Statistics}, publisher={Springer}, author={Weisser, Christoph and Gerloff, Christoph and Thielmann, Anton and Säfken, Benjamin and Python, Andre and Kneib, Thomas and Reuter, Arik}, year={2023}, pages={647–674} }","alphadin":"Weisser, Christoph ; Gerloff, Christoph ; Thielmann, Anton ; Säfken, Benjamin ; Python, Andre ; Kneib, Thomas ; Reuter, Arik: Pseudo-Document Simulation Method for Topic Model Evaluation on Short and Sparse Text Using Twitter Data. In: Computational Statistics Bd. 38, Springer (2023), Nr. 4, S. 647–674","ieee":"C. Weisser et al., “Pseudo-Document Simulation Method for Topic Model Evaluation on Short and Sparse Text Using Twitter Data,” Computational Statistics, vol. 38, no. 4, pp. 647–674, 2023."},"page":"647-674","publisher":"Springer","date_updated":"2026-06-02T12:19:56Z","intvolume":" 38","doi":"10.1007/s00180-022-01246-z","user_id":"220548","main_file_link":[{"open_access":"1"}],"publication_identifier":{"eissn":["1613-9658"],"issn":["0943-4062"]},"type":"journal_article","oa":"1","publication_status":"published","publication":"Computational Statistics","issue":"4","quality_controlled":"1","volume":38,"title":"Pseudo-Document Simulation Method for Topic Model Evaluation on Short and Sparse Text Using Twitter Data","article_type":"original","date_created":"2026-06-01T13:56:37Z"}