Similar Search Results

Recent Trends and Developments in Econophysics

Argyrakis, Panos (contributor) - 2024

The current Special Issue brought out the newest trends in Econophysics that have made use of the most recent available tools, such as Big Data. The emphasis of the reprint is on deciphering the effects of current world events, such as the repercussions of the recent war conflicts, the oil and...

Persistent link: https://www.econbiz.de/10015324883

A year of pandemic: levels, changes and validity of well-being data from Twitter. Evidence from ten countries

Sarracino, Francesco; Greyling, Talita; O'Connor, Kelsey; … - 2021

National Happiness (GNH), a country-level index built applying sentiment analysis to data from Twitter. Our aim is to describe … assess the validity of data sourced from Twitter, we exploit various sources of survey data, such as Eurobarometer and …

Persistent link: https://www.econbiz.de/10012506437

A Year of Pandemic: Levels, Changes and Validity of Well-Being Data from Twitter. Evidence from Ten Countries

Sarracino, Francesco; Greyling, Talita; O'Connor, Kelsey J. - 2021

National Happiness (GNH), a country-level index built applying sentiment analysis to data from Twitter. We aim to describe how … the data sourced from Twitter, we exploit various survey data sources, such as the Eurobarometer and consumer satisfaction …

Persistent link: https://www.econbiz.de/10012882479

Bedrohungen und Chancen frühzeitig erkennen: Entwicklung eines Früherkennungskonzepts

Akalan, Rodi; Brink, Siegrun; Icks, Annette; Wolter, … - 2023

Der Mittelstand ist derzeit mit vielfältigen Krisen konfrontiert. Eine frühe Erkennung relevanter Herausforderungen und Chancen ermöglicht es den mittelständischen Unternehmen und der Wirtschaftspolitik, sich darauf vorzubereiten und die geeigneten Rahmenbedingungen zu setzen. Gegenwärtig...

Persistent link: https://www.econbiz.de/10014446293

Prognose von Wohnungseinbrüchen mithilfe von Machine-Learning-Algorithmen

Haake, Daniel - In: WISTA – Wirtschaft und Statistik 73 (2021) 2, pp. 59-71

Kann man mit Machine-Learning-Algorithmen prognostizieren, ob es nach einem erfolgten Wohnungseinbruchdiebstahl in kurzer Zeit und in unmittelbarer Nähe zu Nachfolgedelikten kommen wird? Dieser Frage geht der vorliegende Artikel anhand von Daten aus Baden-Württemberg nach. Dabei zieht er einen...

Persistent link: https://www.econbiz.de/10012505574

Textual data science for logistics and supply chain management

Treiblmaier, Horst; Mair, Patrick - In: Logistics 5 (2021) 3, pp. 1-15

Background: Researchers in logistics and supply chain management apply a multitude of methods. So far, however, the potential of textual data science has not been fully exploited to automatically analyze large chunks of textual data and to extract relevant insights. Methods: In this paper, we...

Persistent link: https://www.econbiz.de/10015194843

A Bilingual Comparison of Sentiment and Topics for a Product Event on Twitter

Wedel, Irina; Palk, Michael; Voß, Stefan - In: Information Systems Frontiers 24 (2021) 5, pp. 1635-1646

during the time of a new product introduction on Twitter and how the overall sentiment is during and after the event. The …

Persistent link: https://www.econbiz.de/10014501814

Computing Consumer Sentiment in Germany via Social Media Data

Karaman Örsal, Deniz Dilan; Sturm, Silke - 2021

consumer sentiment that we compute using data from Twitter platform. With our approach, we are even able to forecast the change …

Persistent link: https://www.econbiz.de/10012423543

Deductions from a Sub-Saharan African bank's tweets: A sentiment analysis approach

Botchway, Raphael Kwaku; Jibril, Abdul Bashiru; … - In: Cogent Economics & Finance 8 (2020) 1, pp. 1-19

investments required to remain competitive in today's challenging global business environment. Twitter as one of the digital … experience via social media channels (e.g., Twitter) since the meaning of competitive advantage has shifted from purely competing …

Persistent link: https://www.econbiz.de/10012657615

Social media and the stock markets: An emerging market perspective

Agarwal, Shweta; Kumar, Shailendra; Goel, Utkarsh - In: Journal of Business Economics and Management (JBEM) 22 (2021) 6, pp. 1614-1632

index, for a period of 15 months. The results from the Granger-causalty tests indicate that the Twitter sentiments have a …

Persistent link: https://www.econbiz.de/10015401487