We propose a high-frequency digital economy index by combining official white papers and big data. It aims to resolve the discrepancy between the new economic reality and old economic indicators used by decision-makers and policymakers. We have demonstrated a significant effect due to keyword...

Die vorliegende Studie widmet sich der Untersuchung der Berichterstattung über die digitale Transformation der DAX40-Unternehmen mittels einer deduktiven Inhaltsanalyse von Geschäftsberichten. Das Ziel der Studie besteht darin, Einblicke in den Fortschritt und die strategischen Ansätze der...

To understand the design of JPEPA and EFTA, notably the similarities with other FTAs of Japan and EFTA-member countries, respectively, and how these similarities affect Philippine trade, the study proposes the use of text-of-trade-analysis, that is, text analysis employing textas-data. The paper...

Medieval and Early-Modern business correspondence between European companies constitutes a rich source of economic, business, and trade information in that the writing of letters was the very instrument through which merchants ordered and organized the shipments of goods, and performed financial...

As the role of central banks expanded, demand for public scrutiny of their actions increased. This paper investigates whether parliamentary hearings, the main tool to hold central banks accountable, are fit for this purpose. Using text analysis, it detects the topics and sentiments in...

In this paper we dissect the public debate about the future course of monetary policy and trace the effects of selected topics of this discourse on U.S. asset prices. We focus on the "taper tantrum" episode in 2013, a period with large revisions in expectations about Fed policy. Based on a novel...

This article describes how honeypots and intrusion detection systems serve as major mechanisms for security administrators to collect a variety of sample viruses and malware for further analysis, classification, and system protection. However, increased variety and complexity of malware makes...

The main difficulty of credit risk evaluation is to evaluate borrowers' willingness of repayment, which is a subjective factor depending on the thoughts and ideas of borrowers. Text description is a kind of human behavior which reflects the mental process of writers. The authors identify the...

The number of Chinese engineering students has increased greatly since 1999. Rating the quality of these students' English essays has thus become time-consuming and challenging. This paper presents a novel automatic essay scoring algorithm called PSO-SVR, based on a machine learning algorithm,...

Nowadays, millions of products and services are available to the public online. Therefore, searching for the best products which meets individuals' expectations would be difficult due to the existence of too many alternative choices. One of the most reliable approaches to choose a product or...