Environmental, social, and governance (ESG) criteria are increasingly central to corporate reporting. This study applies natural language processing (NLP) techniques, specifically a RoBERTa-based few-shot model, to conduct aspect-based sentiment analysis (ABSA). Our analysis targets ESG-related...

This article applies simple methods from computational linguistics to analyze unstructured corporate texts for economic surveillance. We apply text-as-data approaches to earnings conference call transcripts, patent texts, and job postings to uncover unique insights into how markets and firms...

We develop a novel method for the identification of monetary policy shocks. By applying natural language processing techniques to documents that Federal Reserve staff prepare in advance of policy decisions, we capture the Fed's information set. Using machine learning techniques, we then predict...

Generative Künstliche Intelligenz beschreibt eine Klasse von KI-Systemen, die in der Lage sind, aus großen Datenmengen zu lernen und auf dieser Grundlage neue, bisher nicht gesehene Inhalte zu generieren, wie beispielsweise Texte, Bilder, Musik oder Videos. Dabei wird die...

As distorted maps may mislead, Natural Language Processing (NLP) models may misrepresent. How do we know which NLP model to trust? We provide comprehensive guidance for selecting and applying NLP representations of patent text. We develop novel validation tasks to evaluate several leading NLP...

"This edited volume, "AI Innovations in Service and Tourism Marketing," aims to offer a comprehensive exploration of the synergistic potential and implications of AI technologies within the dynamic landscapes of emerging economies. Drawing upon multidisciplinary perspectives from esteemed...

In recent months, the world has changed faster than ever. It's not easy for communications managers to keep track of all these changes, not to mention advise their top management and adjust corporate communications accordingly. Therefore, a research team from Leipzig University and University of...

AI language models are a key component of natural language processing (NLP), a field of artificial intelligence (AI) focused on enabling computers to understand and generate human language. Language models and other NLP approaches involve developing algorithms and models that can process,...

We use computational linguistics to develop a dynamic, interpretable methodology that can detect emerging risks in the financial sector. Our model can predict heightened risk exposures as early as mid 2005, well in advance of the 2008 financial crisis. Risks related to real estate, prepayment,...

Study abroad and the associated sociocultural experience has been a subject of substantial interest to social science scholars and university administrators. Shedding novel light on the phenomenon, we draw on a corpus of student-authored reflective essays and apply methods of computational...

Artificial intelligence (AI) is surpassing human performance in a growing number of domains. However, there is limited evidence of its economic effects. Using data from a digital platform, we study a key application of AI: machine translation. We find that the introduction of a machine...

Artificial intelligence (AI) is surpassing human performance in a growing number of domains. However, there is limited evidence of its economic effects. Using data from a digital platform, we study a key application of AI: machine translation. We find that the introduction of an upgraded machine...

Artificial intelligence (AI) is surpassing human performance in a growing number of domains. However, there is limited evidence of its economic effects. Using data from a digital platform, we study a key application of AI: machine translation. We find that the introduction of a machine...

Based on the assumption that language is more than a neutral means of communication, and our mother tongue is strongly anchored in our body, mind and culture, this project investigates the comprehension of English texts by native and non-native speakers of English from England, China, Japan and...

Monetary policy in most major economies has traditionally focused on control of the interbank interest rate to achieve an inflation target. Monetary policy in transition economies, in contrast, relied on a mixed system of price-based and quantity based instruments and targets. Japanese monetary...

A"Hey, Alexa!", "Ok, Google!" – Commands like these already underline the immense impact of the Smart Home industry on consumers' minds and business marketing activities. A Smart Home provides several benefits and improvements to the life of consumers – especially from a convenience point of...

Der Siegeszug der Steuerung durch Sprache – auch von komplexen Systemen und Prozessen – ist nicht zu stoppen. Denn Innovationen werden von den Nutzern immer dann gerne angenommen, wenn neue Lösungen mit einem hohen Maß an Bequemlichkeit einhergehen, und das ist hier der Fall: Statt eines...

When startup innovation involves a potentially disruptive technology - initially lagging in the predominant performance metric, but with a potentially favorable trajectory of improvement - incumbents may be wary of engaging in cooperative commercialization with the startup. While the prevailing...

When startup innovation involves a potentially disruptive technology – initially lagging in the predominant performance metric, but with a potentially favorable trajectory of improvement – incumbents may be wary of engaging in cooperative commercialization with the startup. While the...

When startup innovation involves a potentially disruptive technology - initially lagging in the predominant performance metric, but with a potentially favorable trajectory of improvement - incumbents may be wary of engaging in cooperative commercialization with the startup. While the prevailing...

Chatbots gewinnen an Bedeutung. Sie ermöglichen uns Menschen, in natürlicher Sprache mit Computersystemen zu kommunizieren. Im einfachsten Fall extrahiert der Chatbot aus der Äusserung eines Benutzers dessen Intention, fragt fehlende Informationen in einer Wissensbank ab und bereitet dem...

We compare the effectiveness of financial statement variables and pre-determined lists of suspicious words with an alternative approach to fraud detection. Using the text of the Management Discussion and Analysis section from 10-Q and 10-K reports, we allow the data to identify words most...

We propose a new hybrid recommender system that combines some advantages of collaborative and content-based recommender systems. While it uses ratings data of all users, as do collaborative recommender systems, it is also able to recommend new items and provide an explanation of its...