J. Ángel Diaz-Garcia

University of Granada | UGR · Department of Computer Science and Artificial Intelligence

En este trabajo, proponemos un estudio del cyberbullying basado en técnicas de PLN (Procesamiento de Lenguaje Natural) y Minería de Datos, como el clustering difuso y los modelos de representación vectorial. La premisa inicial es que en un mismo mensaje pueden aparecer varios tipos de cyberbullying y su modelado con un grado de pertenencia puede of...

Social networks have taken an irreplaceable role in our lives. They are used daily by millions of people to communicate and inform themselves. This success has also led to a lot of irrelevant content and even misinformation on social media. In this paper, we propose a user-centred framework to reduce the amount of irrelevant content in social netwo...

The incursion of social media in our lives has been much accentuated in the last decade. This has led to a multiplication of data mining tools aimed at obtaining knowledge from these data sources. One of the greatest challenges in this area is to be able to obtain this knowledge without the need for training processes, which requires structured inf...

Social networks and new technologies are present today in almost all aspects of social relations. These technologies, which have so many advantages in the daily lives of young and older people, can become a double-edged sword. One of the most negative connotations created by the incursion of social networks and new technologies in the lives of chil...

Today’s information society has led to the emergence of a large number of applications that generate and consume digital data. Many of these applications are based on social networks, and therefore their information often comes in the form of unstructured text. This text from social media also tends to contain a high level of noise and untrustworth...

With the proliferation of fake news and misinformation on social media, being able to differentiate a reliable source of information has become increasingly important. In this paper we present a new algorithm for filtering expert users in social networks according to a certain topic under study. For the algorithm fine-tuning, a comparative study of...

With the exponential growth of users and user-generated content present on online social networks, fake news and its detection have become a major problem. Through these, smear campaigns can be generated, aimed for example at trying to change the political orientation of some people. Twitter has become one of the main spreaders of fake news in the...

Pattern mining has been widely studied in the last decade given its great interest for research and its numerous applications in the real world. In this paper the definition of query and non-query based systems is proposed, highlighting the needs of non-query based systems in the era of Big Data. For this, we propose a new approach of a non-query b...

Association rules have been widely applied in a variety of fields over the last few years, given their potential for descriptive problems. One of the areas where the association rules have been most prominent in recent years is social media mining. In this paper, we propose the use of association rules and a novel generalization of these based on e...

Association Rules have been widely used in recent years. Their potential has led to the generation of a multitude of variants of the traditional association rules, one of which is fuzzy association rules. In this paper, we propose the use of fuzzy rules for social media mining on microblogging platforms. In this way, we will be able to summarize a...

Association rules have been widely applied in a variety of fields over the last few years, given their potential for descriptive problems. One of the areas where the association rules have been most prominent in recent years is social media mining. In this paper, we propose the use of association rules and a novel generalization of these based on e...

La minería de opiniones ha sido ampliamente estudiada en lá ultima década dado su gran interés en eí ambito de investigación e innumerables aplicaciones al mundo real. En este trabajo proponemos un sistema que combina reglas de asociación, generalización de reglas y análisis de sentimientos para catalogar y descubrir tendencias de opinión en la red...