Persona:
Gonzalo Arroyo, Julio Antonio

Foto de perfil
Dirección de correo electrónico
ORCID
0000-0002-5341-9337
Fecha de nacimiento
Proyectos de investigación
Unidades organizativas
Puesto de trabajo
Apellidos
Gonzalo Arroyo
Nombre de pila
Julio Antonio
Nombre

Filtros

2020 - 20213
Restablecer filtros

Ajustes

Fecha de inicio: 2020 × search.filters.applied.f.itemFacultad: E.T.S. de Ingeniería Informática ×

Resultados de la búsqueda

Mostrando 1 - 3 de 3
  • Miniatura
    Publicación
    Authority and Priority Signals in Automatic Summary Generation for Online Reputation Management
    (Wiley, 2021-05-01) Rodríguez Vidal, Javier; Carrillo de Albornoz Cuadrado, Jorge Amando; Gonzalo Arroyo, Julio Antonio; Plaza Morales, Laura
    Online reputation management (ORM) comprises the collection of techniques that help monitoring and improving the public image of an entity (companies, products, institutions) on the Internet. The ORM experts try to minimize the negative impact of the information about an entity while maximizing the positive material for being more trustworthy to the customers. Due to the huge amount of information that is published on the Internet every day, there is a need to summarize the entire flow of information to obtain only those data that are relevant to the entities. Traditionally the automatic summarization task in the ORM scenario takes some in-domain signals into account such as popularity, polarity for reputation and novelty but exists other feature to be considered, the authority of the people. This authority depends on the ability to convince others and therefore to influence opinions. In this work, we propose the use of authority signals that measures the influence of a user jointly with (a) priority signals related to the ORM domain and (b) information regarding the different topics that influential people is talking about. Our results indicate that the use of authority signals may significantly improve the quality of the summaries that are automatically generated.
  • Miniatura
    Publicación
    Detecting Influencers in Social Media using information from their followers
    (Sociedad Española para el Procesamiento del Lenguaje Natural, 2020-03) Rodríguez Vidal, Javier; Gonzalo Arroyo, Julio Antonio; Plaza Morales, Laura
    Dada la tarea de encontrar influencers en un dominio dado (i.e. banking) en una red social, en este artículo investigamos (i) la importancia de caracterizar a los seguidores para la detección automática de influencers; (ii) la manera más efectiva de combinar señales obtenidas de los seguidores y de los perfiles principales para la detección automática de influencers. En este trabajo, hemos modelado el discurso usado por los usuarios en dos dominios, automotive y banking, así como el lenguaje utilizado por los influencers en dichos dominios y por sus seguidores, y utilizamos estos Modelos de Lenguaje para estimar la probabilidad de ser un influencer. Nuestro mayor descubrimiento es que los influencers no sólo dependen de su conocimiento sobre el dominio sino del de sus seguidores; por lo tanto, cuanto mayor conocimiento y número de expertos haya entre sus seguidores, mayor será la probabilidad que el perfil sea de un influencer.
  • Miniatura
    Publicación
    Automatic Generation of Entity-Oriented Summaries for Reputation Management
    (Springer, 2020-04-01) Rodríguez Vidal, Javier; Verdejo, Julia; Carrillo de Albornoz Cuadrado, Jorge Amando; Amigo Cabrera, Enrique; Plaza Morales, Laura; Gonzalo Arroyo, Julio Antonio
    Producing online reputation summaries for an entity (company, brand, etc.) is a focused summarization task with a distinctive feature: issues that may affect the reputation of the entity take priority in the summary. In this paper we (i) present a new test collection of manually created (abstractive and extractive) reputation reports which summarize tweet streams for 31 companies in the banking and automobile domains; (ii) propose a novel methodology to evaluate summaries in the context of online reputation monitoring, which profits from an analogy between reputation reports and the problem of diversity in search; and (iii) provide empirical evidence that producing reputation reports is different from a standard summarization problem, and incorporating priority signals is essential to address the task effectively.