Multilingual opinion mining

170 p.Cada día se genera gran cantidad de texto en diferentes medios online. Gran parte de ese texto contiene opiniones acerca de multitud de entidades, productos, servicios, etc. Dada la creciente necesidad de disponer de medios automatizados para analizar, procesar y explotar esa información, las técnicas de análisis de sentimiento han recibido gran cantidad de atención por parte de la industria y la comunidad científica durante la última década y media. No obstante, muchas de las técnicas empleadas suelen requerir de entrenamiento supervisado utilizando para ello ejemplos anotados manualmente, u otros recursos lingüísticos relacionados con un idioma o dominio de aplicación específicos. Esto limita la aplicación de este tipo de técnicas, ya que dicho recursos y ejemplos anotados no son sencillos de obtener. En esta tesis se explora una serie de métodos para realizar diversos análisis automáticos de texto en el marco del análisis de sentimiento, incluyendo la obtención automática de términos de un dominio, palabras que expresan opinión, polaridad del sentimiento de dichas palabras (positivas o negativas), etc. Finalmente se propone y se evalúa un método que combina representación continua de palabras (continuous word embeddings) y topic-modelling inspirado en la técnica de Latent Dirichlet Allocation (LDA), para obtener un sistema de análisis de sentimiento basado en aspectos (ABSA), que sólo necesita unas pocas palabras semilla para procesar textos de un idioma o dominio determinados. De este modo, la adaptación a otro idioma o dominio se reduce a la traducción de las palabras semilla correspondientes

Guidelines for performing Systematic Research Projects Reviews

There are different methods and techniques to carry out systematic reviews in order to address a set of research questions or getting the state of the art of a particular topic, but there is no a method to carry out a systematic analysis of research projects not only based on scientific publications. The main challenge is the difference between research projects and scientific literature. Research projects are a collection of information in different formats and available in different places. Even projects from the same funding call follow a different structure in most of the cases, despite there were some requirements that they should meet at the end of the funding period. Furthermore, the sources in which the scientific literature is available provide metadata and powerful search tools, meanwhile most of the research projects are not stored in public and accessible databases, or the databases usually do not provide enough information and tools to conduct a systematic search. For this reason, this work provides the guidelines to support systematics reviews of research projects following the method called Systematic Research Projects Review (SRPR). This methodology is based on the Kitchenham’s adaptation of the systematic literature review

eDemocracia

eDemocracia: Plataforma de votación electrónica que implementa el concepto de “democracia líquida”, facilitando de este modo la participación de todos los ciudadanos en las decisiones relativas a cualquier cuestión de su interés, ya sea de forma directa o delegando su voto en representantes de su elección.Ingeniería Técnica en Informática de Gestió

Implementation of program school 2.0. Analysis of a case of rural Groupment center

Actualmente se está implementando en España el Programa Escuela 2.0 que supone la dotación masiva de ordenadores y aulas digitales en los centros educativos financiados con fondos públicos. El texto presenta algunos datos globales de la valoración que hacen los profesores implicados en el mismo y analiza la puesta en práctica de este programa en el caso concreto de una escuela rural de Castilla y León. La metodología de investigación ha contemplado el cuestionario, la entrevista y observación como estrategia de obtención de información. Las conclusiones apuntan a una valoración positiva en lo que respecta a las posibilidades que aporta el uso de la tecnología digital en la enseñanza si bien se detectan algunos problemas relevantes en la puesta en práctica relacionados con la conectividad y la implicación del profesorado. Currently the School Programme 2.0 has been introduced in Spain which means a huge supply of computers and digital classrooms in schools financed by public funds. The article gives some global data of the value given by teachers involved in this programme and it also analyzes the implementation of it in the specific case of a rural school in Castilla and León. The research methodology used was the questionnaire, the interview, and observation as a strategy to obtain information. The conclusion draw to a positive assessment of the possibilities provided by using digital technology regarding to teaching although there have been detected some relevant issues while implementing it, which are linked to the implication and involvement of teachers

Emotional Intelligence in Robotics: A Scoping Review

Research suggests that emotionally responsive machines that can simulate empathy increase de acceptance of users towards them, as the feeling of affinity towards the machine reduces negative perceptual feedback. In order to endow a robot with emotional intelligence, it must be equipped with sensors capable of capturing users’ emotions (sense), appraisal captured emotions to regulate its internal state (compute), and finally perform tasks where actions are regulated by the computed “emotional” state (act). However, despite the im-pressive progress made in recent years in terms of artificial intelligence, speech recognition and synthesis, computer vision and many other disciplines directly and indirectly related to artificial emotional recognition and behavior, we are still far from being able to endow robots with the empathic capabilities of a human being. This article aims to give an overview of the implications of intro-ducing emotional intelligence in robotic constructions by discussing recent ad-vances in emotional intelligence in robotics

Trends in European research projects focused on technological ecosystems in the health sector

Over the past decade, the health domain has grown at a fast pace. The stakeholders are not only limited to patients, but also include formal and informal careers, doctors, research institutions and technological solution providers. As such, different technological ecosystems of interconnected health communities have arisen to adopt the best practices to improve the wellbeing and health of patients. In order to identify the lacks and opportunities in this area, this paper aims at providing a comprehensive overview of the ecosystems in the health domain, presenting a systematic mapping study of research projects developed in Europe and related to the field. The systematic mapping review was conducted on the AAL Programme, CORDIS and KEEP databases. The paper describes the methodology employed for conducting such a review, and provides an analysis of results that give an overview of the evolution of related European projects until today along with the conclusions obtained from the study

Integrating Emotion Recognition Tools for Developing Emotionally Intelligent Agents

Emotionally responsive agents that can simulate emotional intelligence increase the acceptance of users towards them, as the feeling of empathy reduces negative perceptual feedback. This has fostered research on emotional intelligence during last decades, and nowadays numerous cloud and local tools for automatic emotional recognition are available, even for inexperienced users. These tools however usually focus on the recognition of discrete emotions sensed from one communication channel, even though multimodal approaches have been shown to have advantages over unimodal approaches. Therefore, the objective of this paper is to show our approach for multimodal emotion recognition using Kalman filters for the fusion of available discrete emotion recognition tools. The proposed system has been modularly developed based on an evolutionary approach so to be integrated in our digital ecosystems, and new emotional recognition sources can be easily integrated. Obtained results show improvements over unimodal tools when recognizing naturally displayed emotions