Text mining for big data analysis in financial sector: A literature review
Big data technologies have a strong impact on different industries, starting from the last
decade, which continues nowadays, with the tendency to become omnipresent. The …
decade, which continues nowadays, with the tendency to become omnipresent. The …
A review of two decades of correlations, hierarchies, networks and clustering in financial markets
We review the state of the art of clustering financial time series and the study of their
correlations alongside other interaction networks. The aim of the review is to gather in one …
correlations alongside other interaction networks. The aim of the review is to gather in one …
Text mining of industry 4.0 job advertisements
Since changes in job characteristics in areas such as Industry 4.0 are rapid, fast tool for
analysis of job advertisements is needed. Current knowledge about competencies required …
analysis of job advertisements is needed. Current knowledge about competencies required …
Big data and the united nations sustainable development goals (UN SDGs) at a glance
H Hassani, X Huang, S MacFeely… - Big Data and Cognitive …, 2021 - mdpi.com
The launch of the United Nations (UN) 17 Sustainable Development Goals (SDGs) in 2015
was a historic event, uniting countries around the world around the shared agenda of …
was a historic event, uniting countries around the world around the shared agenda of …
Examining customer perception and behaviour through social media research–An empirical study of the United Airlines overbooking crisis
Airlines have been adopting yield management to optimise the perishable seat control
problem and overbooking is a common strategy. This study outlines the connections …
problem and overbooking is a common strategy. This study outlines the connections …
The impact of economic indicators on the evolution of business confidence during the COVID-19 pandemic period
M Olkiewicz - Sustainability, 2022 - mdpi.com
This publication focuses on issues related to the development of entrepreneurship. The aim
of this publication is to demonstrate how fluctuations of economic indicators have been …
of this publication is to demonstrate how fluctuations of economic indicators have been …
Forecasting election results by studying brand importance in online news
AF Colladon - International Journal of Forecasting, 2020 - Elsevier
This study uses the semantic brand score, a novel measure of brand importance in big
textual data, to forecast elections based on online news. About 35,000 online news articles …
textual data, to forecast elections based on online news. About 35,000 online news articles …
Enhanced Text Mining Approach for Better Ranking System of Customer Reviews
Most customers say that online reviews influence their decisions to purchase a new product.
Therefore, it is no exaggeration to say that online reviews are critical to the success of a …
Therefore, it is no exaggeration to say that online reviews are critical to the success of a …
Macroeconomic forecasting through news, emotions and narrative
S Tilly, M Ebner, G Livan - Expert Systems with Applications, 2021 - Elsevier
This study proposes a new method of incorporating emotions from newspaper articles into
macroeconomic forecasts, attempting to forecast industrial production and consumer prices …
macroeconomic forecasts, attempting to forecast industrial production and consumer prices …
News-based sentiment: can it explain market performance before and after the Russia–Ukraine conflict?
VH Le, HJ von Mettenheim, S Goutte… - The Journal of Risk …, 2023 - emerald.com
Purpose The purpose of this paper is to analyze the market response of the aerospace and
defense industry and the airline industry to the ongoing conflict between Ukraine and Russia …
defense industry and the airline industry to the ongoing conflict between Ukraine and Russia …