Effective Factor Detection in Crowdfunding Systems
Küçük Resim Yok
Tarih
2021
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Science and Business Media Deutschland GmbH
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Crowdfunding is a platform that brings together entrepreneurs without their own budgets and investors who do not have to be related to each other. Crowdfunding, a model that enables the entrepreneurs to get the support they need to realize their projects, is increasingly used in the world and in our country as well. This study aims to open new horizons for entrepreneurs about what they should pay attention to get support for their projects. The crowdfunding system is important to prevent wasting of potential projects that may be beneficial to the society when they are implemented due to lack of resources. The fact that the project is not expressed in a way that attracts the attention of investors makes it difficult to use the system effectively. Our study answers the question of how to use this system more effectively by applying machine learning methods on a public data set. Also, the outcome of the study is expected to benefit both entrepreneurs and investors. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Açıklama
Anahtar Kelimeler
Crowdfunding, Data mining, Funding success factors, Machine learning
Kaynak
Lecture Notes on Data Engineering and Communications Technologies
WoS Q Değeri
Scopus Q Değeri
Q3
Cilt
76
