Results 11 to 20 of about 2,670 (204)
Experiments on Generalizability of BERTopic on Multi-Domain Short Text
Accepted poster presentation at WiNLP 2022, as a part of EMNLP 2022, 2 ...
Muriël de Groot +2 more
openaire +3 more sources
Modeling New Trends in Bone Regeneration, using the BERTopic Approach
Aim: Bibliometric surveys are time-consuming endeavors, which cannot be scaled up to meet the challenges of ever-expanding fields, such as bone regeneration. Artificial intelligence, however, can provide smart tools to screen massive amounts of literature, and we relied on this technology to automatically identify research topics.
Guizzardi, Stefano +3 more
openaire +4 more sources
Modified BERTopic using IndoSBERT for topic modeling in Bahasa
The vast amount of textual data -particularly undergraduate theses abstracts produced in the digital age- makes it difficult for readers to identify the topics contained within them.
Nur Huda Riyantoni +2 more
doaj +2 more sources
Air fare sentiment via Backtranslation-CNN-BiLSTM and BERTopic
Civil aviation passengers’ comments about airlines or airports on social media are the key to improving service quality. In order to make effective use of these data, in-depth analysis is needed to provide solid support for service improvement of ...
Ke Xijun +3 more
doaj +2 more sources
BERTopic for Topic Modeling of Hindi Short Texts: A Comparative Study [PDF]
Accepted into IndoNLP: The First Workshop on Natural Language Processing for Indo-Aryan and Dravidian Languages, collocated with COLING 2025.
Atharva Mutsaddi +3 more
core +7 more sources
Unveiling and advancing grassland degradation research using a BERTopic modelling approach
Grassland degradation presents overwhelming challenges to biodiversity, ecosystem services, and the socio-economic sustainability of dependent communities. However, a comprehensive synthesis of global knowledge on the frontiers and key areas of grassland
Tong Li +13 more
doaj +2 more sources
A BERTopic Platform for Perceiving Patients' Views Of Cancer
Cancer immunotherapy is a promising treatment that harnesses the body's immune system to combat cancer, but not all patients respond to the treatment.
Jolibois, Florkenthia +4 more
core +3 more sources
Highlights Calculate topic distributions with .approximate_distribution regardless of the cluster model used Generates topic distributions on a document- and token-levels Can be used for any document regardless of its size!
Tim Isbister +18 more
core +1 more source
BERTops: Studying BERT Representations under a Topological Lens
Proposing scoring functions to effectively understand, analyze and learn various properties of high dimensional hidden representations of large-scale transformer models like BERT can be a challenging task. In this work, we explore a new direction by studying the topological features of BERT hidden representations using persistent homology (PH).
Jatin Chauhan, Manohar Kaul
openaire +2 more sources
Highlights: Multimodal Topic Modeling Train your topic modeling on text, images, or images and text! Use the bertopic.backend.MultiModalBackend to embed images, text, both or even caption images!
Nils Reimers +10 more
core +1 more source

