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About SME Credit Scoring Using Social Media Data
This thesis proposes using social media data to develop credit scoring models for small and medium enterprises (SMEs). The thesis author collected data on over 20,000 SMEs from public websites and their Facebook pages, extracting 20 traditional features and 35 social media features. Experiments were conducted to build credit scoring models using only social media features, only traditional features, and a combination of both. The results found that social media features alone were insufficient but combining social media and traditional features led to better model performance compared to only using traditional data. This approach provides an alternative method for SME credit scoring that leverages social media data and has potential for lower cost and greater scalability than traditional methods.
Detailed Information
| Author: | ['david'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 82 |
| Language: | English |
| Format: | |
| Price: | FREE |
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