
At the "19th Conference on Computer Science and Intelligence Systems, FedCSIS 2024 (IEEE #61123)" held in Belgrade, September 8–11, 2024, a paper titled Topic Modeling of the SrpELTeC Corpus: A Comparison of NMF, LDA, and BERTopic, autora Teodora Mihajlov, Milica Ikonić Nešić, Ranka Stanković and Olivera Kitanović, was presented within the session Challenges for Natural Language Processing (CNLPS), showcasing the results of the TESLA project.
Electronic computers. Computer science, Information technology, QA75.5-76.95, T58.5-58.64
Electronic computers. Computer science, Information technology, QA75.5-76.95, T58.5-58.64
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
