Most of peer-to-peer (P2P) online borrowers are small business managers. The learning behavior of borrowers in the P2P market is rarely studied. The aim of this paper is to identify the existence of borrowers' learning behavior in the P2P market using a large sample from renrendai.com, which is...

The purpose of this study is to identify airline asymmetric attributes that affect customer satisfaction based on the three-factor theory and to build an Asymmetric Impact-Sentiment Analysis (AISA) for resource allocation prioritization. We identified food and beverage service as a basic factor;...

Mit der UN-Agenda 2030 der und dem Onlinezugangsgesetz verpflichtet sich Deutschland zu einer nachhaltigen Entwicklung und der Digitalisierung von Verwaltungsleistungen. Digitalisierung und Nachhaltigkeit sind zwei Querschnittsthemen. Sie ergänzen sich und haben inhaltliche Schnittmengen. So...

We study the Latent Dirichlet Allocation model, a popular Bayesian algorithm for text analysis. We show that the model's parameters are not identified, which suggests that the choice of prior matters. We characterize the range of values that the posterior mean of a given functional of the...

Mit der UN-Agenda 2030 der und dem Onlinezugangsgesetz verpflichtet sich Deutschland zu einer nachhaltigen Entwicklung und der Digitalisierung von Verwaltungsleistungen. Digitalisierung und Nachhaltigkeit sind zwei Querschnittsthemen. Sie ergänzen sich und haben inhaltliche Schnittmengen. So...

Determining the sentiment of a written text is an important task in text research. This task can be performed either in the supervised or unsupervised version. In this paper, we propose a novel unsupervised algorithm for documents written in any language using documents written in Polish as an...

Online booking of homestays through e-travel portals is based on the virtual brand and perception, which are largely affected by user-generated electronic word-of-mouth (eWOM). With the objective of mining actionable insights from eWOM, this study conducted opinion mining for homestays located...

This paper investigates the impact of news media information on improving short-term GDP growth forecasts by analyzing a large and unique corpus of 12.4 million news articles spanning from 1991 to 2018. We extract business cycle-related sentiment from each article using an annotated dataset from...

Purpose: The purpose of our study is to explore the influence of Metaverse on FinTech industry and identify the mediators between them. Design/methodology/approach: To achieve the purpose, we conducted words frequency analysis, network analysis, and association rules analysis, based on 68,957...

The EU's Cohesion Policy (CP) intends to promote European economic, social, and territorial cohesion. The policy occupies about a third of the EU budget and it is the most evaluated of all EU policies. With the support of the German Ministry of Finance, two in-depth ZEW research papers by...

In this paper, we discuss whether and how Natural Language Processing (NLP) can be integrated into the workflows of conventional qualitative research to support the researcher. We focus on textual data which the researcher wants to analyse using predefined categories. We explore the possibility...

Fiscal policy is made in parliament. We go to the roots of changes of fiscal policy in Germany and use a novel data set on all parliamentary speeches in the Bundestag from 1960 to 2021. We propose an embedding-based approach, which allows the representation of words and documents in a shared...

Topic analysis of the European Central Bank (ECB) press conferences reveals meaningful communication patterns. Similar press conferences are clustered in time ¦ The revisions to the ECB narrative accompany the changes in policy direction. Market volatility increases when the ECB substantially...

Purpose: The objective of the paper is to find trends of research in relic tourism-related topics. Specifically, this paper uncovers all published studies having latent issues with the keywords “relic tourism” from the Web of Science database.Methods: A total of 109 published articles...

In this paper, we discuss whether and how Natural Language Processing (NLP) can be integrated into the workflows of conventional qualitative research to support the researcher. We focus on textual data which the researcher wants to analyse using predefined categories. We explore the possibility...

The paper demonstrates the power of alternative data. Relying on the indicators obtained by mining online publicly available news articles, authors analyze their impact on Bitcoin returns. This research shows that in the first quarter of 2022 Bitcoin returns could be explained by the sentiment...

Domain-specific dictionaries have prevailed, when conducting the dictionary-based approach to measure the sentiment of textual data in finance. Through the contributions of Bannier et al. (2019a) and Pöferlein (2021), two versions of a dictionary suitable for analyzing German finance-related...

There has been a huge gap between male and female students in the field of science, technology, engineering, and mathematics. Women have always been inadequately represented in the field of information technology and engineering, both in universities and in the labor market. To understand the...

This study aims to investigate the material loss review published by the Federal Deposit Insurance Corporation (FDIC) on 98 failed banks from 2008 to 2015. The text mining techniques via machine learning, i.e. bag of words, document clustering, and topic modeling, are employed for the...

Semantic analysis is becoming increasingly important not only in computing but also in the business world. The purpose of the current study is to apply semantic network analysis to the service industry, one of the economic sectors. To learn more about the crowded environment in the service...

In the last decade there has been a large increase in corporate and public reliance on social media for information, rather than on the traditional news and information sources such as print and broadcast media. People freely express their views, moods, activities, likes/dislikes on social media...