Processamento de linguagem natural não supervisionado na identificação de pacientes suspeitos de infecção por COVID-19 [PDF]
Os pacientes com síndrome pós-COVID-19 se beneficiam de programas de promoção de saúde e sua rápida identificação é importante para a utilização custo efetiva desses programas. Técnicas tradicionais de identificação têm fraco desempenho, especialmente em
Rildo Pinto da Silva +2 more
doaj +1 more source
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 +2 more sources
Implementation of Dynamic Topic Modeling to Discover Topic Evolution on Customer Reviews
Annotation and analysis of online customer reviews were identified as significant problems in various domains, including business intelligence, marketing, and e-governance.
Valentinus Roby Hananto
doaj +1 more source
Enhancing API Documentation through BERTopic Modeling and Summarization
As the amount of textual data in various fields, including software development, continues to grow, there is a pressing demand for efficient and effective extraction and presentation of meaningful insights. This paper presents a unique approach to address this need, focusing on the complexities of interpreting Application Programming Interface (API ...
AmirHossein Naghshzan, Sylvie Ratté
openaire +2 more sources
An Experimental Assessment of the Efficacy of BERTopic [PDF]
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
Evaluating Reflective Writing in Pre-Service Teachers: The Potential of a Mixed-Methods Approach
Reflective writing is a relevant aspect of pre-service teachers’ professionalization. Evaluating reflective writing in teacher education is demanding due to a shortage of resources.
Chengming Zhang +4 more
doaj +1 more source
Depression, anxiety, and burnout in academia: topic modeling of PubMed abstracts
The problem of mental health in academia is increasingly discussed in literature, and to extract meaningful insights from the growing amount of scientific publications, text mining approaches are used. In this study, BERTopic, an advanced method of topic
Olga Lezhnina
doaj +1 more source
ANALISIS KOMPARASI PEMODELAN TOPIK METODE LATENT DIRICHLET ALLOCATION (LDA) DAN BERTOPIC PADA BERITA BERBAHASA INDONESIA [PDF]
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
Enhancing BERTopic with Intermediate Layer Representations
BERTopic 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
AI-Driven Analysis: Optimizing Tertiary Education Policy through Machine Learning Insights
Tertiary education is pivotal in equipping individuals with the necessary knowledge and skills for success, prompting global initiatives for equitable access to quality higher education.
Christian Y Sy +2 more
doaj +1 more source

