Crowdfunding Campaigns. Success Prediction Through Natural Language Processing


Master's Thesis, 2021

83 Pages, Grade: 1,0


Abstract or Introduction

This thesis examines whether a data mining approach, such as natural language processing, can help the founders of crowdfunding campaigns be more successful.

In a data mining framework 493,324 campaigns of the two popular crowdfunding platforms Kickstarter and Indiegogo were analyzed by natural language processing using different artificial neural networks to obtain the information needed by the founders. For frequently occurring categories, a reliable classification of the category was possible. For rare ones it was less precise. It was also shown that the more a founder concentrates on a specific category when setting up a campaign, the more likely it was that a campaign would be successful. A prediction of campaign success was also possible but was influenced by the nature of the data set. It was demonstrated that this approach could generate important information that could lead to a competitive advantage of the founders for most of the campaigns in the dataset.

Crowdfunding is an emerging industry which has gained considerable attention in recent years. Competition among campaigns and founders will therefore become increasingly intense. This means, that founders must gain a competitive advantage over the competitors to be successful. Data mining approaches which also include natural language processing could be suitable to assist the founders with valuable information when setting up campaigns and thus enable them to gain a competitive advantage. Especially the right categorization on a crowdfunding platform and prediction of success are important information to support the founders.

Details

Title
Crowdfunding Campaigns. Success Prediction Through Natural Language Processing
College
Hamburg University of Technology  (Institute of Entrepreneurship)
Grade
1,0
Author
Year
2021
Pages
83
Catalog Number
V1382124
ISBN (eBook)
9783346931719
ISBN (Book)
9783346931726
Language
English
Keywords
Deep learning, Neural network, Neural networks, Crowdfunding, Kickstarter, Indiegogo, Graph Convolutional Neural Network , GCN, Long Short-Term Memory Neural Network , LSTM, Convolutional Neural Network , CNN, NLP, Artificial Intelligence, AI, Phyton, R, Keras, Tensorflow
Quote paper
Benjamin Brummer (Author), 2021, Crowdfunding Campaigns. Success Prediction Through Natural Language Processing, Munich, GRIN Verlag, https://www.grin.com/document/1382124

Comments

  • No comments yet.
Read the ebook
Title: Crowdfunding Campaigns. Success Prediction Through Natural Language Processing



Upload papers

Your term paper / thesis:

- Publication as eBook and book
- High royalties for the sales
- Completely free - with ISBN
- It only takes five minutes
- Every paper finds readers

Publish now - it's free