Unveiling The Key Attributes of Leading Crowdfunding Projects

Dhyani, Kanishka (2024) Unveiling The Key Attributes of Leading Crowdfunding Projects. Masters thesis, Dublin, National College of Ireland.

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Abstract

In the era of finance, crowdfunding is considered as uncontrolled way of financing upcoming projects and it facilitates the financial needs of recently developed projects. Understanding the importance and growth of crowdfunding several platforms are providing favourable opportunities to founders, who can furnish their ideas and ask for funds from investors. Kickstarter is the most popular platform of crowdfunding, offering numerous categories for funding and among all, one of the highly funded projects are under games, design and technology category, indicating the advancement as well as interest of people in this industry. To evaluate and identify the key attributes of these crowdfunding projects, which are influencing the outcome of the process either success or failure, the study utilizes the secondary data gathered from private scrapping website and previous related researches for greater insights. Machine Learning models: Logistic Regression, Random Forest Classifier, Gradient Boosting with XG boost and K-Nearest Neighbours are applied to analyse the factors affecting the outcome of the project. The evaluation with accuracy score, AUC-ROC, Mean Squared Error and confusion matrix, the study finds that backers count and goal are the key attributes effecting the state of project, whereas duration have a bare minimum impact. Further, tokenization and distribution are used to examine the impact of words in the funding decisions of the backers.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Del Rosal, Victor UNSPECIFIED
Uncontrolled Keywords:	Crowdfunding; Kickstarter; Influential Factors; Predictive modelling
Subjects:	H Social Sciences > HG Finance > Fintech T Technology > T Technology (General) > Information Technology > Fintech H Social Sciences > HG Finance > Investment Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4150 Computer Network Resources > The Internet > World Wide Web > Websites T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > The Internet > World Wide Web > Websites
Divisions:	School of Computing > Master of Science in FinTech
Depositing User:	Ciara O'Brien
Date Deposited:	02 Aug 2025 13:35
Last Modified:	02 Aug 2025 13:35
URI:	https://norma.ncirl.ie/id/eprint/8416

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