Optimizing BERTopic: Analysis and Reproducibility Study of Parameter Influences on Topic Modeling.

Martin Borcin|Joemon M. Jose


Anthology ID:DBLP:conf/ecir/BorcinJ24
Volume:Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part IV
Year:2024
Venue:European Conference on Advances in Information Retrieval (ECIR)
Publisher:Springer
Pages:147-160
URL:https://doi.org/10.1007/978-3-031-56066-8_14
DOI:https://doi.org/10.1007/978-3-031-56066-8_14
DBLP:conf/ecir/BorcinJ24
BibTeX:
@inproceedings{borcin-2024-optimizing, author = {Martin Borcin and Joemon M. Jose}, editor = {Nazli Goharian and Nicola Tonellotto and Yulan He and Aldo Lipani and Graham McDonald and Craig Macdonald and Iadh Ounis}, title = {{Optimizing BERTopic: Analysis and Reproducibility Study of Parameter Influences on Topic Modeling}}, booktitle = {{Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part IV}}, series = {Lecture Notes in Computer Science}, volume = {14611}, pages = {147--160}, publisher = {Springer}, year = {2024}, url = {https://doi.org/10.1007/978-3-031-56066-8_14}, doi = {https://doi.org/10.1007/978-3-031-56066-8_14} }