{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T11:02:03Z","timestamp":1771326123796,"version":"3.50.1"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030513092","type":"print"},{"value":"9783030513108","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-51310-8_11","type":"book-chapter","created":{"date-parts":[[2020,6,17]],"date-time":"2020-06-17T08:02:48Z","timestamp":1592380968000},"page":"118-125","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Improving Latent Dirichlet Allocation: On Reliability of the Novel Method LDAPrototype"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0007-4478","authenticated-orcid":false,"given":"Jonas","family":"Rieger","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8947-440X","authenticated-orcid":false,"given":"J\u00f6rg","family":"Rahnenf\u00fchrer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7824-1697","authenticated-orcid":false,"given":"Carsten","family":"Jentsch","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,6,17]]},"reference":[{"key":"11_CR1","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1016\/j.infsof.2018.02.005","volume":"98","author":"A Agrawal","year":"2018","unstructured":"Agrawal, A., Fu, W., Menzies, T.: What is wrong with topic modeling? And how to fix it using search-based software engineering. Inf. Softw. Technol. 98, 74\u201388 (2018). https:\/\/doi.org\/10.1016\/j.infsof.2018.02.005","journal-title":"Inf. Softw. Technol."},{"issue":"1","key":"11_CR2","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1214\/07-AOAS114","volume":"1","author":"DM Blei","year":"2007","unstructured":"Blei, D.M., Lafferty, J.D.: A correlated topic model of science. Ann. Appl. Stat. 1(1), 17\u201335 (2007). https:\/\/doi.org\/10.1214\/07-AOAS114","journal-title":"Ann. Appl. Stat."},{"key":"11_CR3","doi-asserted-by":"publisher","first-page":"993","DOI":"10.1162\/jmlr.2003.3.4-5.993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993\u20131022 (2003). https:\/\/doi.org\/10.1162\/jmlr.2003.3.4-5.993","journal-title":"J. Mach. Learn. Res."},{"key":"11_CR4","unstructured":"Chang, J.: LDA: Collapsed Gibbs Sampling Methods for Topic Models (2015). https:\/\/CRAN.R-project.org\/package=lda . R package version 1.4.2"},{"key":"11_CR5","unstructured":"Chang, J., Boyd-Graber, J., Gerrish, S., Wang, C., Blei, D.M.: Reading tea leaves: how humans interpret topic models. In: Proceedings of the 22nd International NIPS-Conference, pp. 288\u2013296. Curran Associates Inc. (2009)"},{"issue":"Suppl. 1","key":"11_CR6","doi-asserted-by":"publisher","first-page":"5228","DOI":"10.1073\/pnas.0307752101","volume":"101","author":"TL Griffiths","year":"2004","unstructured":"Griffiths, T.L., Steyvers, M.: Finding scientific topics. Proc. Natl. Acad. Sci. 101(Suppl. 1), 5228\u20135235 (2004). https:\/\/doi.org\/10.1073\/pnas.0307752101","journal-title":"Proc. Natl. Acad. Sci."},{"key":"11_CR7","series-title":"Springer Series in Statistics","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The Elements of Statistical Learning","author":"T Hastie","year":"2009","unstructured":"Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning. SSS, 2nd edn. Springer, New York (2009). https:\/\/doi.org\/10.1007\/978-0-387-84858-7","edition":"2"},{"issue":"2","key":"11_CR8","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1111\/j.1469-8137.1912.tb05611.x","volume":"11","author":"P Jaccard","year":"1912","unstructured":"Jaccard, P.: The distribution of the flora in the alpine zone. New Phytol. 11(2), 37\u201350 (1912). https:\/\/doi.org\/10.1111\/j.1469-8137.1912.tb05611.x","journal-title":"New Phytol."},{"issue":"1","key":"11_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v028.c01","volume":"28","author":"P Kampstra","year":"2008","unstructured":"Kampstra, P.: Beanplot: a boxplot alternative for visual comparison of distributions. J. Stat. Softw. Code Snippets 28(1), 1\u20139 (2008). https:\/\/doi.org\/10.18637\/jss.v028.c01","journal-title":"J. Stat. Softw. Code Snippets"},{"key":"11_CR10","doi-asserted-by":"publisher","unstructured":"Koppers, L., Rieger, J., Boczek, K., von Nordheim, G.: tosca: Tools for Statistical Content Analysis (2019). https:\/\/doi.org\/10.5281\/zenodo.3591068 . R package version 0.1-5","DOI":"10.5281\/zenodo.3591068"},{"issue":"2\u20133","key":"11_CR11","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1080\/19312458.2018.1430754","volume":"12","author":"D Maier","year":"2018","unstructured":"Maier, D., et al.: Applying LDA topic modeling in communication research: toward a valid and reliable methodology. Commun. Methods Measur. 12(2\u20133), 93\u2013118 (2018). https:\/\/doi.org\/10.1080\/19312458.2018.1430754","journal-title":"Commun. Methods Measur."},{"key":"11_CR12","unstructured":"Mimno, D., Wallach, H.M., Talley, E., Leenders, M., McCallum, A.: Optimizing semantic coherence in topic models. In: Proceedings of the 2011 EMNLP-Conference, pp. 262\u2013272. ACL (2011)"},{"key":"11_CR13","doi-asserted-by":"publisher","unstructured":"Nguyen, V.A., Boyd-Graber, J., Resnik, P.: Sometimes average is best: the importance of averaging for prediction using MCMC inference in topic modeling. In: Proceedings of the 2014 EMNLP-Conference, pp. 1752\u20131757. ACL (2014). https:\/\/doi.org\/10.3115\/v1\/D14-1182","DOI":"10.3115\/v1\/D14-1182"},{"key":"11_CR14","unstructured":"R Core Team: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria (2019). http:\/\/www.R-project.org\/"},{"key":"11_CR15","doi-asserted-by":"publisher","unstructured":"Rieger, J.: LDAPrototype: Prototype of Multiple Latent Dirichlet Allocation Runs (2020). https:\/\/doi.org\/10.5281\/zenodo.3604359 . R package version 0.1.1","DOI":"10.5281\/zenodo.3604359"},{"key":"11_CR16","unstructured":"Rieger, J., Koppers, L., Jentsch, C., Rahnenf\u00fchrer, J.: Improving Reliability of Latent Dirichlet Allocation by Assessing Its Stability Using Clustering Techniques on Replicated Runs (2020)"},{"key":"11_CR17","doi-asserted-by":"crossref","unstructured":"Roberts, M.E., Stewart, B.M., Tingley, D., Airoldi, E.M.: The structural topic model and applied social science. In: NIPS-Workshop on Topic Models: Computation, Application, and Evaluation (2013)","DOI":"10.32614\/CRAN.package.stm"},{"key":"11_CR18","unstructured":"Rosen-Zvi, M., Griffiths, T., Steyvers, M., Smyth, P.: The author-topic model for authors and documents. In: Proceedings of the 20th UAI-Conference, pp. 487\u2013494. AUAI Press (2004)"}],"container-title":["Lecture Notes in Computer Science","Natural Language Processing and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-51310-8_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T20:12:36Z","timestamp":1723061556000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-51310-8_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030513092","9783030513108"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-51310-8_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"17 June 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NLDB","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Applications of Natural Language to Information Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Saarbr\u00fccken","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 June 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 June 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nldb2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/nldb2020.sb.dfki.de\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"68","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"15","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"10","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"22% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}