Machine learning and traditional econometric models: a systematic mapping study
ME Pérez-Pons, J Parra-Dominguez… - Journal of Artificial …, 2021 - sciendo.com
Abstract Context: Machine Learning (ML) is a disruptive concept that has given rise to and
generated interest in different applications in many fields of study. The purpose of Machine …
generated interest in different applications in many fields of study. The purpose of Machine …
Text as data in environmental economics and policy
There is growing interest in using text as data in social science research, particularly in
economics. The availability of large amounts of digitized text material such as social media …
economics. The availability of large amounts of digitized text material such as social media …
Artificial Intelligence in Influencer Marketing: A Mixed-Method Comparison of Human and Virtual Influencers on Instagram
J Looi, LA Kahlor - Journal of Interactive Advertising, 2024 - Taylor & Francis
The prominence and profitability of influencer marketing have facilitated a proliferation of
virtual influencers—fictitious digital personalities created and managed using artificial …
virtual influencers—fictitious digital personalities created and managed using artificial …
A Contextual Topic Modeling and Content Analysis of Iranian laws and Regulations
Z Hemmat, M Mehraeen, R Fattahi - arXiv preprint arXiv:2309.13051, 2023 - arxiv.org
A constitution is the highest legal document of a country and serves as a guide for the
establishment of other laws. The constitution defines the political principles, structure …
establishment of other laws. The constitution defines the political principles, structure …
Efficient and flexible compression of very sparse networks of big data
In the current era of big data, huge amounts of valuable data and information have been
generated and collected at a very rapid rate from a wide variety of rich data sources. Social …
generated and collected at a very rapid rate from a wide variety of rich data sources. Social …
Analyzing Session Laws of the State of North Carolina: An Automated Approach Using Machine Learning and Natural Language Processing
RH Dalwadi - 2020 - cdr.lib.unc.edu
This exploratory study aims to automatically find the common themes and topics in North
Carolina's 3, 01,328 session laws for a period of over hundred years from 1867 to 1968 and …
Carolina's 3, 01,328 session laws for a period of over hundred years from 1867 to 1968 and …
Resumen de tesis. Machine learning and econometric applications for increasing profitability and efficiency: A case study on sustainable production and trade in agro …
ME Pérez-Pons - 2022 - gredos.usal.es
[ES] Se espera que en 2050 la poblaci´ on mundial haya alcanzado los 9 000 millones de
personas. El crecimiento de la poblaci´ on a nivel mundial va a dar lugar a un crecimiento …
personas. El crecimiento de la poblaci´ on a nivel mundial va a dar lugar a un crecimiento …