Cargando…
Creating Classification Models from Textual Descriptions of Companies Using Crunchbase
This paper compares different models for multilabel text classification, using information collected from Crunchbase, a large database that holds information about more than 600000 companies. Each company is labeled with one or more categories, from a subset of 46 possible categories, and the propos...
Autores principales: | Felgueiras, Marco, Batista, Fernando, Carvalho, Joao Paulo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274320/ http://dx.doi.org/10.1007/978-3-030-50146-4_51 |
Ejemplares similares
-
An efficient approach for textual data classification using deep learning
por: Alqahtani, Abdullah, et al.
Publicado: (2022) -
A New Generative Model for Textual Descriptions of Medical Images Using Transformers Enhanced with Convolutional Neural Networks
por: Barreto, Artur Gomes, et al.
Publicado: (2023) -
Interpreting deep learning models for glioma survival classification using visualization and textual explanations
por: Osadebey, Michael, et al.
Publicado: (2023) -
Dataset for file fragment classification of textual file formats
por: Mansouri Hanis, Fatemeh, et al.
Publicado: (2019) -
A Study on Generative Models for Visual Recognition of Unknown Scenes Using a Textual Description
por: Martinez-Carranza, Jose, et al.
Publicado: (2023)