Computational approaches to subjectivity and sentiment analysis: Present and envisaged methods and applications

Recent years have witnessed a surge of interest in computational methods for affect, ranging from opinion mining, to subjectivity detection, to sentiment and emotion analysis. This article presents a brief overview of the latest trends in the field and describes the manner in which the articles contained in the special issue contribute to the advancement of the area. Finally, we comment on the current challenges and envisaged developments of the subjectivity and sentiment analysis fields, as well as their application to other Natural Language Processing tasks and related domains.

Modeling construction time in Spanish building projects

The literature states that project duration is affected by various scope factors. Using 168 building projects carried out in Spain, this paper uses the multiple regression analysis to develop a forecast model that allows estimating project duration of new builds. The proposed model uses project type, gross floor area (GFA), the cost/GFA relationship and number of floors as predictor variables. The research identified the logarithmic form of construction speed as the most appropriate response variable. GFA has greater influence than cost on project duration but both factors are necessary to achieve a forecast model with the highest accuracy. We developed an analysis to verify the stability of forecasted values and showed how a model with high values of fit and accuracy may display an anomalous behavior in the forecasted values. The sensitivity of the proposed forecast model was also analyzed versus the variability of construction costs.

Los SIG en el contexto del medio marino en la Región de Murcia

La aplicación de los Sistemas de Información Geográfica (SIG) se ha extendido en el mundo científico-técnico, donde se ha convertido en un instrumento de análisis y almacenamiento de información imprescindible. El uso de los SIG abarca casi cualquier aplicación en la que haya una componente espacial, como usos militares, aplicaciones en infraestructuras, planificación territorial, etc. En el medio marino se pueden aplicar para teledetección, cartografía digital, geoestadística, análisis y modelación espacial, Infraestructuras de Datos Espaciales (IDE), visores web, etc. En 1988, la Región de Murcia impulsó el proyecto de cartografía binómica del litoral murciano, siendo un instrumento que ha ido actualizándose hasta nuestros días. En comparación con otras regiones mediterráneas españolas, el litoral murciano es el tramo del litoral mediterráneo con la información cartográfica más completa y precisa, además del SIG marino más avanzado. Son numerosos los trabajos y aplicaciones en los que se ha utilizado como base la cartografía y los datos asociados, como la Red Natura 2000, ‘Programa de gestión integrada del litoral del Mar Menor y su zona de influencia’, caracterización ambiental para la propuesta de Reservas Marinas, diagnóstico medioambiental, etc.

Applying model-driven engineering to the development of Rich Internet Applications for Business Intelligence

Business Intelligence (BI) applications have been gradually ported to the Web in search of a global platform for the consumption and publication of data and services. On the Internet, apart from techniques for data/knowledge management, BI Web applications need interfaces with a high level of interoperability (similar to the traditional desktop interfaces) for the visualisation of data/knowledge. In some cases, this has been provided by Rich Internet Applications (RIA). The development of these BI RIAs is a process traditionally performed manually and, given the complexity of the final application, it is a process which might be prone to errors. The application of model-driven engineering techniques can reduce the cost of development and maintenance (in terms of time and resources) of these applications, as they demonstrated by other types of Web applications. In the light of these issues, the paper introduces the Sm4RIA-B methodology, i.e., a model-driven methodology for the development of RIA as BI Web applications. In order to overcome the limitations of RIA regarding knowledge management from the Web, this paper also presents a new RIA platform for BI, called RI@BI, which extends the functionalities of traditional RIAs by means of Semantic Web technologies and B2B techniques. Finally, we evaluate the whole approach on a case study—the development of a social network site for an enterprise project manager.

Proyecto FIRST (Flexible Interactive Reading Support Tool): desarrollo de una herramienta para ayudar a personas con autismo mediante la simplificación de textos

El Trastorno de Espectro Autista (TEA) es un trastorno que impide el correcto desarrollo de funciones cognitivas, habilidades sociales y comunicativas en las personas. Un porcentaje significativo de personas con autismo presentan además dificultades en la comprensión lectora. El proyecto europeo FIRST está orientado a desarrollar una herramienta multilingüe llamada Open Book que utiliza Tecnologías del Lenguaje Humano para identificar obstáculos que dificultan la comprensión lectora de un documento. La herramienta ayuda a cuidadores y personas con autismo transformando documentos escritos a un formato más sencillo mediante la eliminación de dichos obstáculos identificados en el texto. En este artículo se presenta el proyecto FIRST así como la herramienta desarrollada Open Book.

ATTOS: Análisis de Tendencias y Temáticas a través de Opiniones y Sentimientos

El proyecto ATTOS centra su actividad en el estudio y desarrollo de técnicas de análisis de opiniones, enfocado a proporcionar toda la información necesaria para que una empresa o una institución pueda tomar decisiones estratégicas en función a la imagen que la sociedad tiene sobre esa empresa, producto o servicio. El objetivo último del proyecto es la interpretación automática de estas opiniones, posibilitando así su posterior explotación. Para ello se estudian parámetros tales como la intensidad de la opinión, ubicación geográfica y perfil de usuario, entre otros factores, para facilitar la toma de decisiones. El objetivo general del proyecto se centra en el estudio, desarrollo y experimentación de técnicas, recursos y sistemas basados en Tecnologías del Lenguaje Humano (TLH), para conformar una plataforma de monitorización de la Web 2.0 que genere información sobre tendencias de opinión relacionadas con un tema.

An overview of the Applications of Natural Language to Information Systems

This introduction provides an overview of the state-of-the-art technology in Applications of Natural Language to Information Systems. Specifically, we analyze the need for such technologies to successfully address the new challenges of modern information systems, in which the exploitation of the Web as a main data source on business systems becomes a key requirement. It will also discuss the reasons why Human Language Technologies themselves have shifted their focus onto new areas of interest very directly linked to the development of technology for the treatment and understanding of Web 2.0. These new technologies are expected to be future interfaces for the new information systems to come. Moreover, we will review current topics of interest to this research community, and will present the selection of manuscripts that have been chosen by the program committee of the NLDB 2011 conference as representative cornerstone research works, especially highlighting their contribution to the advancement of such technologies.

Application of Text Summarization techniques to the Geographical Information Retrieval task

Automatic Text Summarization has been shown to be useful for Natural Language Processing tasks such as Question Answering or Text Classification and other related fields of computer science such as Information Retrieval. Since Geographical Information Retrieval can be considered as an extension of the Information Retrieval field, the generation of summaries could be integrated into these systems by acting as an intermediate stage, with the purpose of reducing the document length. In this manner, the access time for information searching will be improved, while at the same time relevant documents will be also retrieved. Therefore, in this paper we propose the generation of two types of summaries (generic and geographical) applying several compression rates in order to evaluate their effectiveness in the Geographical Information Retrieval task. The evaluation has been carried out using GeoCLEF as evaluation framework and following an Information Retrieval perspective without considering the geo-reranking phase commonly used in these systems. Although single-document summarization has not performed well in general, the slight improvements obtained for some types of the proposed summaries, particularly for those based on geographical information, made us believe that the integration of Text Summarization with Geographical Information Retrieval may be beneficial, and consequently, the experimental set-up developed in this research work serves as a basis for further investigations in this field.

Applying semantic knowledge to the automatic processing of temporal expressions and events in natural language

This paper addresses the problem of the automatic recognition and classification of temporal expressions and events in human language. Efficacy in these tasks is crucial if the broader task of temporal information processing is to be successfully performed. We analyze whether the application of semantic knowledge to these tasks improves the performance of current approaches. We therefore present and evaluate a data-driven approach as part of a system: TIPSem. Our approach uses lexical semantics and semantic roles as additional information to extend classical approaches which are principally based on morphosyntax. The results obtained for English show that semantic knowledge aids in temporal expression and event recognition, achieving an error reduction of 59% and 21%, while in classification the contribution is limited. From the analysis of the results it may be concluded that the application of semantic knowledge leads to more general models and aids in the recognition of temporal entities that are ambiguous at shallower language analysis levels. We also discovered that lexical semantics and semantic roles have complementary advantages, and that it is useful to combine them. Finally, we carried out the same analysis for Spanish. The results obtained show comparable advantages. This supports the hypothesis that applying the proposed semantic knowledge may be useful for different languages.

How to make a natural language interface to query databases accessible to everyone: An example

Natural Language Interfaces to Query Databases (NLIDBs) have been an active research field since the 1960s. However, they have not been widely adopted. This article explores some of the biggest challenges and approaches for building NLIDBs and proposes techniques to reduce implementation and adoption costs. The article describes {AskMe*}, a new system that leverages some of these approaches and adds an innovative feature: query-authoring services, which lower the entry barrier for end users. Advantages of these approaches are proven with experimentation. Results confirm that, even when {AskMe*} is automatically reconfigurable against multiple domains, its accuracy is comparable to domain-specific NLIDBs.

Noise-tolerance feasibility for restricted-domain Information Retrieval systems

Information Retrieval systems normally have to work with rather heterogeneous sources, such as Web sites or documents from Optical Character Recognition tools. The correct conversion of these sources into flat text files is not a trivial task since noise may easily be introduced as a result of spelling or typeset errors. Interestingly, this is not a great drawback when the size of the corpus is sufficiently large, since redundancy helps to overcome noise problems. However, noise becomes a serious problem in restricted-domain Information Retrieval specially when the corpus is small and has little or no redundancy. This paper devises an approach which adds noise-tolerance to Information Retrieval systems. A set of experiments carried out in the agricultural domain proves the effectiveness of the approach presented.

Tackling redundancy in text summarization through different levels of language analysis

One of the main challenges to be addressed in text summarization concerns the detection of redundant information. This paper presents a detailed analysis of three methods for achieving such goal. The proposed methods rely on different levels of language analysis: lexical, syntactic and semantic. Moreover, they are also analyzed for detecting relevance in texts. The results show that semantic-based methods are able to detect up to 90% of redundancy, compared to only the 19% of lexical-based ones. This is also reflected in the quality of the generated summaries, obtaining better summaries when employing syntactic- or semantic-based approaches to remove redundancy.

Towards automatic tweet generation: A comparative study from the text summarization perspective in the journalism genre

In recent years, Twitter has become one of the most important microblogging services of the Web 2.0. Among the possible uses it allows, it can be employed for communicating and broadcasting information in real time. The goal of this research is to analyze the task of automatic tweet generation from a text summarization perspective in the context of the journalism genre. To achieve this, different state-of-the-art summarizers are selected and employed for producing multi-lingual tweets in two languages (English and Spanish). A wide experimental framework is proposed, comprising the creation of a new corpus, the generation of the automatic tweets, and their assessment through a quantitative and a qualitative evaluation, where informativeness, indicativeness and interest are key criteria that should be ensured in the proposed context. From the results obtained, it was observed that although the original tweets were considered as model tweets with respect to their informativeness, they were not among the most interesting ones from a human viewpoint. Therefore, relying only on these tweets may not be the ideal way to communicate news through Twitter, especially if a more personalized and catchy way of reporting news wants to be performed. In contrast, we showed that recent text summarization techniques may be more appropriate, reflecting a balance between indicativeness and interest, even if their content was different from the tweets delivered by the news providers.

Estudio cualitativo sobre la sostenibilidad de los programas de violencia de género en el sistema sanitario español durante la crisis

Antecedentes/Objetivos: La Ley 1/2004 de atención a la integral a la violencia de género institucionaliza la respuesta sanitaria a este problema. En la actualidad, los servicios sanitarios se están viendo afectados por las políticas de austeridad del gobierno como respuesta a la crisis financiera, lo que puede afectar negativamente a la atención de la violencia de género. El objetivo de este estudio es explorar las percepciones de profesionales sanitarios del nivel gerencial sobre el impacto de la crisis económica en la respuesta sanitaria a la violencia de género en España. Métodos: Estudio cualitativo con 26 entrevistas individuales a informantes clave del nivel gerencial, 23 de las 17 Comunidades Autónomas y 3 del nivel nacional, entre julio de 2012 a marzo de 2013. Las transcripciones se importaron al software informático Atlas.ti-5 y se realizó un análisis de contenido cualitativo. Resultados: Se identificaron 4 categorías que explican las consecuencias de las políticas de austeridad en la atención sanitaria de la violencia de género. Tres de ellas hacen referencia a los efectos negativos: Desmotivación y pesimismo para avanzar en la integración de la respuesta a la violencia; Un sistema desbordado por los recortes y presión asistencial; y Necesidad de una mayor implicación por parte del personal sanitario para suplir las carencias del sistema. Una cuarta categoría concibe la crisis como oportunidad: El desafío es mantener y no desmantelar, una visión optimista de la crisis como un reto para afianzar lo que hay. Las personas implicadas luchan para mantener el abordaje de la violencia en las agendas, movidas por su motivación personal, pero sienten que es luchar contra un muro o ir contracorriente porque no se ha producido una integración oficial en la práctica sino sólo en la teoría, a raíz de la ley 1/2004 y las políticas de igualdad impulsadas por el anterior gobierno. Todo ello se ve dificultado por la desaparición de las subvenciones estatales para la formación y sensibilización, implantación de protocolos o creación de sistemas de información, junto a que no está en la cartera de servicios de las comunidades. Conclusiones: Continuar con la integración del abordaje de la violencia de género en el sistema de salud en época de crisis no es una prioridad. Los hallazgos sugieren que la motivación individual trata de compensar las deficiencias en el sistema existente, pero que el voluntarismo de las personas individuales no es suficiente sin estructuras organizativas que les respalden, lo que se ve especialmente dificultado en tiempos de crisis.

Uso de Facebook como completo docente

Las redes sociales son comunidades de personas que comparten algún tipo de interés. Las redes sociales online permiten a los individuos construir un perfil público o semi-público en un sistema delimitado, articular una lista de usuarios con los que se tiene conexión y ver y cruzar su lista de conexiones con otras hechas por distintos individuos del sistema. El uso de las redes sociales online ha crecido vertiginosamente en los últimos años, y los jóvenes son los principales protagonistas de esta tendencia. Inmersos y educados y criados en medio de la tecnología, la nueva generación de estudiantes son nativos digitales. Los profesores, en cambio, somos inmigrantes digitales, pero tenemos la responsabilidad de convertir una tecnología que puede ser una distracción en una herramienta de enseñanza. El objetivo del presente trabajo es mostrar nuestra experiencia docente, en las asignaturas de grado de Dirección de Recursos Humanos, en la Universidad de Alicante, con la red social Facebook, obteniendo conclusiones y recomendaciones para mejorar el uso de redes sociales en la enseñanza universitaria.