Cargando…
Using text data instead of SIC codes to tag innovative firms and classify industrial activities
The paper uses text mining and semantic algorithms to tag innovative firms and offer an alternative perspective to classify industrial activities. Instead of referring to firms’ standard industrial classification codes, we gather information from companies’ websites and corporate purposes, extract k...
Autores principales: | Marra, Alessandro, Baldassari, Cristiano |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9246165/ https://www.ncbi.nlm.nih.gov/pubmed/35771893 http://dx.doi.org/10.1371/journal.pone.0270041 |
Ejemplares similares
-
University–industry collaboration and firm innovation: an empirical study of the biopharmaceutical industry
por: Tian, Mingyu, et al.
Publicado: (2021) -
Managerial Myopia and Firm Green Innovation: Based on Text Analysis and Machine Learning
por: Liu, Xin
Publicado: (2022) -
The effect of firm size, industry type and ownership structure on the relationship between firms' sustainable innovation capability and stock liquidity
por: Tang, Liang, et al.
Publicado: (2022) -
Firms, crowds, and innovation
por: Felin, Teppo, et al.
Publicado: (2017) -
Are other fluorescent tags used instead of ethidium bromide safer?
por: Saeidnia, Soodabeh, et al.
Publicado: (2013)