Jorge Pereira-Delgado
Biographic Data
| ID | 6303766 |
|---|---|
| NAME | Jorge Pereira-Delgado |
| GIVEN NAMES | Jorge |
| FAMILY NAME | Pereira-Delgado |
| SIGNATURE | PEREIRA-DELGADO J |
| AFFILIATIONS | Telefonica Research and Development |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Topic-based engagement analysis
In a social-media context, brands need to understand how to frame their messages, so that a topic can be quickly recognized, promoting higher levels of user engagement. However, knowledge about the link between content type and its engagement is not sufficiently studied. We first explore hotel Firm-Generated Content (FGC) and its inherent themes using topic modelling; we then use an ad hoc metric to investigate the engagement levels associated wi…
Validation of scientific topic models using graph analysis and corpus metadata
Probabilistic topic modeling algorithms like Latent Dirichlet Allocation (LDA) have become powerful tools for the analysis of large collections of documents (such as papers, projects, or funding applications) in science, technology an innovation (STI) policy design and monitoring. However, selecting an appropriate and stable topic model for a specific application (by adjusting the hyperparameters of the algorithm) is not a trivial problem. Common…
No prominent works on this page.
Validation of scientific topic models using graph analysis and corpus metadata
Probabilistic topic modeling algorithms like Latent Dirichlet Allocation (LDA) have become powerful tools for the analysis of large collections of documents (such as papers, projects, or funding applications) in science, technology an innovation (STI) policy design and monitoring. However, selecting an appropriate and stable topic model for a specific application (by adjusting the hyperparameters of the algorithm) is not a trivial problem. Common…
Topic-based engagement analysis
In a social-media context, brands need to understand how to frame their messages, so that a topic can be quickly recognized, promoting higher levels of user engagement. However, knowledge about the link between content type and its engagement is not sufficiently studied. We first explore hotel Firm-Generated Content (FGC) and its inherent themes using topic modelling; we then use an ad hoc metric to investigate the engagement levels associated wi…
Computer Science (2 works) · Advanced Text Analysis Techniques (1 work) · Advertising (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Business (1 work) · Computational and Text Analysis Methods (1 work) · Data mining (1 work) · Data science (1 work) · Digital Marketing and Social Media (1 work)