LIVING-LANGLiving digital entities by human languagetechnologies

  1. L. Alfonso Ureña-López 1
  2. Estela Saquete 2
  3. María-Teresa Martín-Valdivia 1
  4. Patricio Martínez Barco 2
  1. 1 Computer Science Department, SINAI, CEATIC Universidad de Jaén, Campus Las Lagunillas, 23071, Jaén, Spain
  2. 2 Department of Software and Computing Systems, University of Alicante, Spain
Book:
SEPLN-PD 2022: Annual Conference of the Spanish Association for Natural Language Processing 2022: Projects and Demonstrations
  1. Miguel A. Alonso (ed. lit.)
  2. Margarita Alonso-Ramos (ed. lit.)
  3. Carlos Gómez-Rodríguez (ed. lit.)
  4. David Vilares (ed. lit.)
  5. Jesús Vilares (ed. lit.)

Publisher: CEUR Workshop Proceedings

Year of publication: 2022

Pages: 5-9

Type: Book chapter

DIALNET GOOGLE SCHOLAR lock_openOpen access editor

Abstract

This project pursues the dynamic modeling at a spatial-temporal level of digital entities in social media for predicting their behavior. Firstly, digital entities are modelled by identifying the characteristics of individuals through their language and footprint on the network. Then, the extraction of relationships between digital entities is one of the nuclear challenges of the project. The proposal pursues this objective on a semantic level, structuring the information into representations of knowledge suitable for logical processing. Considering the heterogeneous nature of the sources to be dealt with, filtering of information is fundamental, using metrics and quality criteria. This spatial-temporal characterization, together with screening processes, will allow us to study high-performance predictive strategies in the evolution of digital entities. This project is coordinated by the SINAI and GPLSI research groups.

Data source: Dialnet