Continuous changes in the real world implies the need of change in the curriculums of the students. Aspects such as leadership, team management, competitiveness, may be more important than the technical knowledge. On the other hand, new demands require a symbiotic relationship between business and university. In the article it presents an experience of a real integration project lead by professionals in the classroom. ; This research work has been partially funded by the University of Alicante, Generalitat Valenciana, Spanish Government and the European Commission through the projects, DIIM2.0 (PROMETEOII/2014/001) de la Generalitat Valenciana, TIN2015-65100-R, TIN2015-65136-C2-2-R del Ministerio de Economía y Competitividad y SAM (FP7-611312) de la Unión Europea.
The concept of the influence of Katz and Lazarfeld given in the last century has evolved thanks to the appearance of Social Networks and especially Twitter. Because this microblogging has allowed candidates for any election process to be closer to their electors and also allows an analysis of the contents of the messages to determine their polarity. The relevance of the messages that measure the level of influence that can be had in the voters, incorporated into the traditional analysis of the Social Networks allow to have a greater degree of precision in the electoral predictions that are made using natural language processing, NLP. We have introduced in the methodology that we propose a mechanism to enhance the votes of those messages that have a greater relevance and turn them into votes in order to improve the predictability of the electoral results. The proposed methodology was applied in the election for President of the Republic of Ecuador that was held on February 19, 2017, obtaining a Mean Average Error, MAE = 1.4 that demonstrates the relevance of incorporating the variable Relevance as an enhancer of votes. ; This research work has been partially funded by the University of Alicante, Generalitat Valenciana , Spanish Government, Ministerio de Educación, Cultura y Deporte and ASAP - Ayudas Fundación BBVA a equipos de investigación científica 2016 (FUNDACIONBBVA2-16PREMIO) through the projects, TIN2015-65100-R, TIN2015-65136-C2-2-R, PROMETEOII/2014/001, GRE16- 01: "Plataforma inteligente para recuperación, análisis y representación de la información generada por usuarios en Internet" and "Análisis de Sentimientos Aplicado a la Prevención del Suicidio en las Redes Sociales" (PR16_SOC_0013).
The result of the analysis of a thematic in a social network is to find a measure that allows the principal actors to know their performance, that is, they can define or maintain strategies and courses of action in order to optimize their communication. It is necessary to formally define the principles of analysis in Social Networks in order to use their characteristics better and to be able to contextualize the concept and use of weighting factors to improve their predictability. When Social Networks are going to be used as a mechanism to predict social behavior, for example, to predict the outcome of a political election, weighting factors must be introduced to try to match the data collected from the Social Network with those of a sample. In this article we have defined the methodology to incorporate the geographic weighting factors and several formulas have been created that allow reprocessing the data downloaded from Twitter in which its polarity has been determined by classical NLP methods to increase the predictive power.
[EN] The concept of the influence of Katz and Lazarfeld given in the last century has evolved thanks to the appearance of Social Networks and especially Twitter. Because this microblogging has allowed candidates for any election process to be closer to their electors and also allows an analysis of the contents of the messages to determine their polarity. The relevance of the messages that measure the level of influence that can be had in the voters, incorporated into the traditional analysis of the Social Networks allow to have a greater degree of precision in the electoral predictions that are made using natural language processing, NLP. We have introduced in the methodology that we propose a mechanism to enhance the votes of those messages that have a greater relevance and turn them into votes in order to improve the predictability of the electoral results. The proposed methodology was applied in the election for President of the Republic of Ecuador that was held on February 19, 2017, obtaining a Mean Average Error, MAE = 1.4 that demonstrates the relevance of incorporating the variable Relevance as an enhancer of votes. ; This research work has been partially funded by the University of Alicante, Generalitat Valenciana , Spanish Government, Ministerio de Educación, Cultura y Deporte and ASAP - Ayudas Fundación BBVA a equipos de investigación científica 2016(FUNDACIONBBVA2-16PREMIO) through the projects, TIN2015- 65100-R, TIN2015-65136-C2-2-R, PROMETEOII/2014/001, GRE16- 01: "Plataforma inteligente para recuperación, análisis y representación de la información generada por usuarios en Internet" and "Análisis de Sentimientos Aplicado a la Prevención del Suicidio en las Redes Sociales" (PR16_SOC_0013). ; Arroba Rimassa, J.; Llopis, F.; Munoz Guillena, R. (2018). Relevance as an enhancer of votes on Twitter. En 2nd International Conference on Advanced Reserach Methods and Analytics (CARMA 2018). Editorial Universitat Politècnica de València. 63-70. https://doi.org/10.4995/CARMA2018.2018.8311 ; OCS ; 63 ; 70
Paper submitted to CICLing 2018, 19th International Conference on Computational Linguistics and Intelligent Text Processing, March 18 to 24, 2018, Hanoi, Vietnam. ; The use of social networks as a predictive tool to predict the outcome of an election can generate controversy; however if you have a methodology that tries to equate the extracted data as if they were obtained through a conventional survey, that is to say using weighting factors more than what usually should be done, polarity and relevance of each tweet, can make it a very reliable technique in light of the results obtained; the proposed methodology was applied in the presidential election of Ecuador on February 19th, 2017. ; This research work has been partially funded by the University of Alicante, Generalitat Valenciana, Spanish Government, Ministerio de Educación, Cultura y Deporte and ASAP - Ayudas Fundación BBVA a equipos de investigación científica 2016(FUNDACIONBBVA2-16PREMIO) through the projects, TIN2015-65100-R, TIN2015-65136-C2-2-R, PROMETEOII/2014/001, GRE16-01: "Plataforma inteligente para recuperación, análisis y representación de la información generada por usuarios en Internet" and PR16_SOC_0013.
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. ; Financial support given by the Department of Software and Computer Systems at the University of Alicante, the Spanish Ministry of Economy and Competitivity (Spanish Government) by the project grants TEXT-MESS 2.0 (TIN2009-13391-C04-01), LEGOLANG (TIN2012-31224), ATTOS (TIN2012-38536-C03-03), and the Valencian Government (grant no. PROMETEO/2009/119).
Previous works on evaluating the performance of Question Answering (QA) systems are focused on the evaluation of the precision. In this paper, we developed a mathematic procedure in order to explore new evaluation measures in QA systems considering the answer time. Also, we carried out an exercise for the evaluation of QA systems within a time constraint in the CLEF-2006 campaign, using the proposed measures. The main conclusion is that the evaluation of QA systems in realtime can be a new scenario for the evaluation of QA systems. ; This research has been partially supported by the framework of the project QALL-ME (FP6-IST-033860), which is a 6th Framenwork Research Programme of the European Union (EU), by the Spanish Government, project TEXT-MESS (TIN-2006-15265-C06-01) and by the Valencia Government under project number GV06-161.
Nowadays there is a big amount of biomedical literature which uses complex nouns and acronyms of biological entities thus complicating the task of retrieval specific information. The Genomics Track works for this goal and this paper describes the approach we used to take part of this track of TREC 2007. As this is the first time we participate in this track, we configurated a new system consisting of the following diferenciated parts: preprocessing, passage generation, document retrieval and passage (with the answer) extraction. We want to call special attention to the textual retrieval system used, which was developed by the University of Alicante. Adapting the resources for the propouse, our system has obtained precision results over the mean and median average of the 66 official runs for the Document, Aspect and Passage2 MAP; and in the case of Passage MAP we get nearly the median and mean value. We want to emphasize we have obtained these results without incorporating specific information about the domain of the track. For the future, we would like to further develop our system in this direction. ; This work has been partially supported by the framework of the project QALL-ME (FP6-IST-033860), which is a 6th Framenwork Research Programme of the European Union (EU), and the Spanish Government, project TEXT-MESS (TIN-2006-15265-C06-01).
