LAUD: sociaL mediA fUsion moDule

Welcome to LAUD

This module combines the augmented knowledge schemas produced in the DIAPASON and ADAGIO modules, where the quality of aggregated data is enhanced by rejecting irrelevant information, minimizing redundancy, resolving inconsistencies, and completing missing information. This fusion process makes use of the ALLEGRO’s knowledge base containing domain ontologies to complete the knowledge schemas provided by the Data Analysis modules and to create other knowledge-based models to represent the description of the problem or situation of interest that has been inferred. Finally, from the ALLEGRO data layer, this description is forwarded to the application layer of the system to be consumed by third-party applications.

Publications

Here are all the publications derived from the project.

Here you can download a dataset of Spanish tweets related to discussions about artificial intelligence, where each entry includes detailed annotations covering sentiment analysis, user engagement metrics, and user profile characteristics, among others.