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Artículo
Known by Who We Follow: A Biclustering Application to Community Detection
(IEEE Computer Society, 2020)
The detection of communities in social networks is a task with multiple applications both in research and in sectors such as marketing and politics among others. In this paper, we address the task of detecting on-line ...
Artículo
Building layered, multilingual sentiment lexicons at synset and lemma levels
(Elsevier, 2014)
Many tasks related to sentiment analysis rely on sentiment lexicons, lexical resources containing information about the emotional implications of words (e.g., sentiment orientation of words, positive or negative). In ...
Artículo
Cross-domain polarity classification using a knowledge-enhanced meta-classifier
(Elsevier, 2015)
Current approaches to single and cross-domain polarity classification usually use bag of words, n-grams or lexical resource-based classifiers. In this paper, we propose the use of meta-learning to combine and enrich those ...
Artículo
Confianza y desconfianza en redes sociales: Detección de trolls
(Asociación de Técnicos de Informática (ATI), 2013)
Uno de los aspectos más importantes en la empresa 2.0 es la gestión de la reputación on line. En este trabajo, nos enfrentamos a los comportamientos deshonestos que se pueden llevar a cabo en la web 2.0 para alterar la ...
Artículo
Explorando Twitter mediante la integración de información estructurada y no estructurada
(Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2015)
En este artículo mostramos cómo es posible sacar partido de la información estructurada que proporciona la red social Twitter. Los textos escritos en Twitter son cortos y de baja calidad, lo que dificulta la aplicación de ...
Artículo
Tweet categorization by combining content and structural knowledge
(Elsevier, 2016)
Twitter is a worldwide social media platform where millions of people frequently express ideas and opinions about any topic. This widespread success makes the analysis of tweets an interesting and possibly lucrative task, ...
Artículo
MCFS: Min-cut-based feature-selection
(Elsevier, 2020)
In this paper, MCFS (Min-Cut-based feature-selection) is presented, which is a feature-selection algorithm based on the representation of the features in a dataset by means of a directed graph. The main contribution of our ...
Artículo
A modular approach for lexical normalization applied to Spanish tweets
(Elsevier, 2015)
Twitter is a social media platform with widespread success where millions of people continuously express ideas and opinions about a myriad of topics. It is a huge and interesting source of data but most of these texts ...
Artículo
Enriching User Reviews Through An Opinion Extraction System
(Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2015)
Web sites based on User-Generated Content (UGC) have a potentially valuable applicability in a number of elds. In this work we carry out a study of the usefulness of these systems from the point of view of detecting the ...