Cargando…
Econo-ESA in semantic text similarity
Explicit semantic analysis (ESA) utilizes an immense Wikipedia index matrix in its interpreter part. This part of the analysis multiplies a large matrix by a term vector to produce a high-dimensional concept vector. A similarity measurement between two texts is performed between two concept vectors...
Autores principales: | Rahutomo, Faisal, Aritsugi, Masayoshi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4003000/ https://www.ncbi.nlm.nih.gov/pubmed/24790807 http://dx.doi.org/10.1186/2193-1801-3-149 |
Ejemplares similares
-
EconoQuantum : revista de economía y negocios
Publicado: (2004) -
1st Polish Symposium on Econo- and Sociophysics
por: Kutner, Ryszard, et al.
Publicado: (2005) -
2nd Polish Seminar on Econo- and Sociophysics
por: Burda, Z, et al.
Publicado: (2006) -
tESA: a distributional measure for calculating semantic relatedness
por: Rybinski, Maciej, et al.
Publicado: (2016) -
Evaluating semantic similarity methods for comparison of text-derived phenotype profiles
por: Slater, Luke T., et al.
Publicado: (2022)