
Framework for Identifying Technology Value Using Multimodal-Based Joint Deep Learning Model
This paper presents a methodology for predicting the economic value of technology using a multimodal-based joint deep-learning model trained on various data obtained from patents and firms. Existing data-based technology valuation methods rely primarily on structured data or patent-based single modalities for patent evaluations.
- Use cases, geography and tags
- Organizations that created, adopted or are mentioned
- Ecosystem position
- Link to the original asset
- Comments and reactions