Prediction of fundraising outcomes for crowdfunding projects based on deep learning: a multimodel comparative study

INIS

• accuracy 20%
• algorithms 80%
• comparative evaluations 20%
• data 20%
• decision tree analysis 40%
• evaluation 20%
• financing 80%
• forecasting 20%
• forests 20%
• internet 40%
• layers 20%
• learning 100%
• machine learning 60%
• market 20%
• performance 20%
• prediction 100%
• randomness 20%
• risks 40%
• sustainable development 20%
• vectors 20%

Computer Science

• Accuracy 25%
• Algorithms 25%
• Decision Trees 50%
• Deep Learning 100%
• Deep Learning Model 25%
• Evaluation Criterion 25%
• Experimental Result 25%
• Internet 50%
• Logistic Regression 25%
• Machine Learning 25%
• Machine Learning Algorithm 50%
• Models 25%
• Multilayer Perceptron 25%
• Practical Implication 25%
• Quality Project 25%
• Random Decision Forest 25%
• Sized Enterprise 25%
• Support Vector Machine 25%

Economics, Econometrics and Finance

• Crowdfunding 100%
• Exploratory Data Analysis 16%
• Finance 33%
• Financing 50%
• Investors 16%
• Learning 100%
• Logit Model 16%
• Machine Learning 50%
• SME 16%
• Sustainable Development 16%