Cargando…
Comparative analysis of classification techniques for topic-based biomedical literature categorisation
Introduction: Scientific articles serve as vital sources of biomedical information, but with the yearly growth in publication volume, processing such vast amounts of information has become increasingly challenging. This difficulty is particularly pronounced when it requires the expertise of highly q...
Autores principales: | Stepanov, Ihor, Ivasiuk, Arsentii, Yavorskyi, Oleksandr, Frolova, Alina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10668010/ https://www.ncbi.nlm.nih.gov/pubmed/38028616 http://dx.doi.org/10.3389/fgene.2023.1238140 |
Ejemplares similares
-
TextNetTopics: Text Classification Based Word Grouping as Topics and Topics’ Scoring
por: Yousef, Malik, et al.
Publicado: (2022) -
Classification aware neural topic model for COVID-19 disinformation categorisation
por: Song, Xingyi, et al.
Publicado: (2021) -
Tracing the wider impacts of biomedical research: a literature search to develop a novel citation categorisation technique
por: Jones, Teresa H., et al.
Publicado: (2012) -
Diabetes-Induced Amplification of Nociceptive DRG Neuron Output by Upregulation of Somatic T-Type Ca(2+) Channels
por: Ivasiuk, Arsentii, et al.
Publicado: (2023) -
TextNetTopics Pro, a topic model-based text classification for short text by integration of semantic and document-topic distribution information
por: Voskergian, Daniel, et al.
Publicado: (2023)