Search Results - subject:"Text analytics"

Using transformers and reinforcement learning as narrative filters in macroeconomics

Larsen, Vegard Høghaug; Thorsrud, Leif Anders - 2026 - This version: February 2, 2026

Building on recent advances in Natural Language Processing and modeling of sequences, we study how a multimodal Transformer-based deep learning architecture can be used for measurement and structural narrative attribution in macroeconomics. The framework we propose combines (news) text and...

Persistent link: https://www.econbiz.de/10015596599

Effects of embodied interviewing agents on open narrative responses

Höhne, Jan Karem; Neuert, Cornelia Eva Lilian; … - In: International journal of market research 68 (2026) 1, pp. 15-25

Persistent link: https://www.econbiz.de/10015574135

Text Analytics in Marketing : A Practical Guide for Students and Researchers

Dan, Daniel; Reutterer, Thomas - 2026

Introduction to Text Analytics in Marketing: A Practical Guide for Students and Researchers -- Textual Data, String … Summarization -- Word Embeddings and Transformers for Marketing Text Analytics. …This book offers a comprehensive introduction to text mining and text analytics tailored for marketers. It presents key …

Persistent link: https://www.econbiz.de/10015607580

Analysing research patterns on low carbon development, climate change mitigation and renewable energy through text analytics : an artificial intelligence approach

Raza, Ahmad; Shakeel, Moonis - In: Innovation and green development 4 (2025) 3, pp. 1-12

research papers were retrieved from ProQuest database for analysis. The study used text analytics approach. Wordcloud, TF …

Persistent link: https://www.econbiz.de/10015443212

An analytical approach to named entity recognition for military aerospace intelligence

Zabala-López, Alexandra; Linares-Vásquez, Mario; … - 2025

Named Entity Recognition (NER) models have been used in various contexts to automate the analysis of textual data, supporting tasks such as text categorization and relationship extraction across entities. While these models are typically trained on large corpora, their efficacy should be...

Persistent link: https://www.econbiz.de/10015506754

A data-filtered sentiment analysis model for economic forecasting

Zheng, Wanwan; Hara, Kunihiko - 2025

In behavioral economics, sentiments influence decision-making processes, with positive sentiments tending to underestimate risks and negative sentiments overestimate them. At the individual level, these sentiments shape economic behavior in ways that collectively influence broader economic...

Persistent link: https://www.econbiz.de/10015506775

The Gen Z attitude-behavior gap in sustainability-framed eWOM : a generational cohort theory perspective

D'Acunto, David; Filieri, Raffaele; Okumus, Fevzi - In: International journal of hospitality management 129 (2025), pp. 1-14

Persistent link: https://www.econbiz.de/10015434259

A machine learning approach for text pattern diagnosis in mental health consultations

Juanita, Safitri; Daeli, Anisah Hasratniwati; … - 2025

Online health consultation services are crucial for mental health support, particularly in densely populated areas. However, the heavy reliance on human expertise often leads to delays, necessitating more efficient and automated solutions. This study developed a machine learning framework to...

Persistent link: https://www.econbiz.de/10015420451

Federal Reserve communication and the COVID‐19 pandemic

Benchimol, Jonathan; Kazinnik, Sophia; Saadon, Yossi - In: The Manchester School 93 (2025) 5, pp. 464-484

In this study, we examine the Federal Reserve's communication strategies during the COVID-19 pandemic, comparing them with communication during previous periods of economic stress. Using specialized dictionaries tailored to COVID-19, unconventional monetary policy (UMP), and financial stability,...

Persistent link: https://www.econbiz.de/10015440951

Corporate social capital disclosure in integrated reports : a structural topic modelling approach

Podayan, Arun; Charumathi, B. - In: Future business journal 11 (2025) 1, pp. 1-31

Corporate social capital disclosure is essential for communicating a company's societal contributions to various stakeholders. Adopting integrated reporting has enhanced non-financial reporting practices, improving the transparency and quality of sustainability-related information for investors....

Persistent link: https://www.econbiz.de/10015613488