Pekar, Viktor(Editorial Universitat Politècnica de València, 2018-09-07)
[EN] Consumer expenditure constitutes the largest component of Gross Domestic Product in developed countries, and forecasts of consumer spending are therefore an important tool that governments and central bank use in their ...
[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 ...
[EN] We use computational linguistic methods and a novel dataset to measure the
sentiment component of central bank communications in 23 countries over
the 2002-2016 period. We first construct a Granger causality network ...
[EN] In recent years, social media have become ubiquitous and important for social networking and content sharing. Moreover, the content generated by these websites remains largely untapped. Some researchers proved that ...
Artola, Concha; Pérez, Javier J.(Editorial Universitat Politècnica de València, 2018-09-07)
[EN] In this paper we focus in the period of political turmoil starting in September
2017 in Catalonia. Our research question is the following: can the Catalan
crisis be tracked by the searches done by the public on ...
[EN] This work investigates the educational divide in e-privacy skills in Europe.
We ask whether the gap exists at the level of the individuals, and
subsequently we seek to frame it in the European context by using ...
[EN] Purpose - Opportunity-driven entrepreneurship (ODEs) is a key to economic development. Consequently, the emigration of potential ODEs constitutes a barrier to the development of the country of origin. Thus, this study ...
[EN] The aim of this work is to propose a strategy to classify texts (or parts of them) in an ordinal emotional scale to gauge a sentiment indicator in every domain. In particular, we develop a new dictionary for the Italian ...
Fensel, Anna(Editorial Universitat Politècnica de València, 2018-09-07)
[EN] Decision making is time-consuming and costly, as it requires direct intensive
involvement of the human brain. The variety of expertise of highly qualified
experts is very high, and the available experts are mostly ...
[EN] The work presented here demonstrates the potential of new generation data arising from innovative policies (based on persuasive technologies) in the transport sector. Improved understanding of the spatial distribution ...
[EN] In our paper we discuss the possibility to use Big Data on payment
instruments to improve the short-term forecast of Italian household
consumption.
The literature on forecasting has evolved rapidly in the last few ...
Mazzi, Gian Luigi(Editorial Universitat Politècnica de València, 2018-09-07)
[EN] This paper analyses the potential usefulness of big data in official statistics starting from four key questions such as Why? When? How? and What for - should we use big data in official statistics? To derive some ...
Heroux-Vaillancourt, Mikael; Beaudry, Catherine(Editorial Universitat Politècnica de València, 2018-09-07)
[EN] In this exploratory study, we use a web mining technique to source data in order to create innovation indicators of Canadian nanotechnology and advanced materials firms. 79 websites were extracted and analysed based ...
Moreno Pascual, Cesar; Martínez de Ibarreta Zorita, Carlos(Editorial Universitat Politècnica de València, 2018-09-07)
[EN] Scientists usually try to find relevant and updated documents for their research. Also, they face an abundance of information. Most of the methodologies and algorithms look Backwards, so they suffer an inevitable time ...
Mas-Tur, Alicia; Pinazo-Dallenbach, Pablo; Tur-Porcar, Ana María; Sánchez-Masferrer, Manuel(Elsevier, 2015-11)
[ES] El emprendimiento es motor del crecimiento económico y del desarrollo. En esta investigación se resalta la importancia del emprendimiento en los países emergentes, detallando algunas de las particularidades de los ...
Ladiray, Dominique; Mazzi, Gian Luigi(Editorial Universitat Politècnica de València, 2018-09-07)
[EN] High frequency data, i.e. data observed at infra-monthly intervals, have been
used for decades by statisticians and econometricians in the financial and
industrial worlds. Weekly data were already used in the 20’s ...