Results 21 to 30 of about 1,751 (215)
An Experimental Assessment of the Efficacy of BERTopic [PDF]
, 2023 openTopic modelling is an unsupervised machine-learning technique for finding abstract topics in a large collection of documents. It helps in organizing, understanding, and summarizing large collections of textual information while discovering the latent
ZAHIR, FARIN BINTA
core
A BERTopic Platform for Perceiving Patients' Views Of Cancer [PDF]
, 2023 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
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ANALISIS KOMPARASI PEMODELAN TOPIK METODE LATENT DIRICHLET ALLOCATION (LDA) DAN BERTOPIC PADA BERITA BERBAHASA INDONESIA [PDF]
, 2023 Pemodelan topik adalah teknik analisis teks yang dapat menemukan struktur topik tersembunyi dalam korpus. Teknik ini berguna untuk pelabelan otomatis pada himpunan data teks untuk klasifikasi atau untuk meningkatkan relevansi dari mesin pencari.
Ahmad Dwi Yanuara Nugroho, NIM.: 19106050025
core
Topic Modeling for Customer Insights : A Comparative Analysis of LDA and BERTopic in Categorizing Customer Calls [PDF]
, 2023 Customer calls serve as a valuable source of feedback for financial service providers, potentially containing a wealth of unexplored insights into customer questions and concerns.
Axelborn, Henrik, Berggren, John
core +2 more sources
Enhancing BERTopic with Intermediate Layer Representations
CoRRBERTopic is a topic modeling algorithm that leverages transformer-based embeddings to create dense clusters, enabling the estimation of topic structures and the extraction of valuable insights from a corpus of documents. This approach allows users to efficiently process large-scale text data and gain meaningful insights into its structure.
Dominik Koterwa, Maciej Switala
openaire +2 more sources
A Comparative Analysis of Topic Reduction Techniques for BERTopic
IEEE AccessBERTopic is a state-of-the-art topic modeling framework that generates topics by clustering contextualized document embeddings. However, its default clustering algorithm, HDBSCAN, often generates an excessive number of topics, which hinders meaningful comparisons or applications in downstream tasks.
Wannes Janssens +2 more
openaire +2 more sources
Indonesian Hoax News Classification with Multilingual Transformer Model and BERTopic
Informatica, 2022 Technology and information growth make all internet users can play a role in disseminating information, including hoax news. One way that can be done to avoid hoax news is to look for sources of information, but valid news is not always perceived as 'true' by individuals because human judgments can lead to bias.
Leonnardo Benjamin Hutama +1 more
openaire +1 more source
This study aims to enhance governmental decision-making by leveraging advanced topic modeling algorithms to analyze public letters on the "People Call Me" online government inquiry platform in Zhejiang Province, China.
Zhouyi Gu (17972850) +2 more
core +1 more source
According to BERTopic, what do Danish Parties Debate on when they Address Energy and Environment? [PDF]
, 2023 This paper investigates how two policy areas, Environment and Energy were dealt with by seven Danish left and right wing parties in their electoral manifestos (2007-2019) and parliamentary debates between 2009 and 2020.
Hansen, Dorte Haltrup +1 more
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Интеракция. Интервью. ИнтерпретацияThis article explores the application of machine learning and generative language models to the analysis of qualitative interviews. The aim of the study is to develop and validate a mixed methodology combining topic modeling (BERTopic) with expert ...
Polina Igorevna Chervotkina
doaj +1 more source