Text mining-based word representations for biomedical data analysis and protein-protein interaction networks in machine learning tasks.
Biomedical and life science literature is an essential way to publish experimental results. With the rapid growth of the number of new publications, the amount of scientific knowledge represented in free text is increasing remarkably. There has been much interest in developing techniques that can ex...
Guardado en:
Autores principales: | Halima Alachram, Hryhorii Chereda, Tim Beißbarth, Edgar Wingender, Philip Stegmaier |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/72ddc5ce3d944699be3e4b096cf57a7a |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Exploring Text Mining for Recent Consumer and Sensory Studies about Alternative Proteins
por: Ziyang Chen, et al.
Publicado: (2021) -
Getting started in text mining.
por: K Bretonnel Cohen, et al.
Publicado: (2008) -
Mark my words: tone of voice changes affective word representations in memory.
por: Annett Schirmer
Publicado: (2010) -
TASKS AND METHODS OF TEXT SENTIMENT ANALYSIS
por: А. Mukasheva
Publicado: (2021) - Word & Text: A Journal of Literary Studies & Linguistics