A project that extrapolates three key factors: Enticement, Experience and Engagement from hidden metrics by analysing Kickstarter projects to further explore the effectiveness of content and its sentiments, rewards and their tangibility, funder belief and founder-funder engagement in its success through analysis of textual and numeric features. To validate the discovered metrics, an Ensemble Deep-Learning model is proposed to predict campaigns with the greatest potential to achieve funding.
- Host demo on a video platform
- Cleanup and Reorganise Code
- Elaborate on the workings in the notebooks
Srinivasan, Arvind and P, Akilandeswari, An Ensemble Deep Learning Approach to Explore the Impact of Enticement, Engagement and Experience in Reward Based Crowdfunding (May 31, 2020). Available at SSRN: http://dx.doi.org/10.2139/ssrn.3615176