Opera Rolandi archive
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Abstract
The Fondazione Giorgio Cini has digitized 36000 pages from Ulderico Rolandi's opera libretti collection. This collection contains contemporary works of 17th- and 18th-century composers. These opera libretti have a diverse content, which offered us a large amount of possibilities for analysis.
This project chose to concentrate on a way to illustrate the characters’ interactions in the Rolandi's libretti collection through network visualization. We also highlighted the importance of each character in the libretto they figure in. To achieve this, we retrieved important information using Deep Learning models and OCR. We started from a subset of Rolandi’s libretti collection and generalized this algorithm for all Rolandi’s libretti collection.
Planning
| Week | To do | |
|---|---|---|
| 08.10. (week 4-6) | Data Acquisition, Data Cleaning | |
| 22.10. (week 6-9) | Model Training, Loss Function Visualization | |
| 12.11. (week 9-12) | Tuning hyperparameters, Model improvement, separate models for image types | |
| 02.12. (week 12-14) | Cleanup code, implement front end, write the report | |
| 16.12. (week 14) | Final Project presentation |