Search Results - subject_exact:"Sentiment analysis"

Online customer feedback for identifying KANO product quality features: a fine-grained topic detection and sentiment analysis approach

Regitz, Dominic; Höpken, Wolfram; Fuchs, Matthias - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015618050

An analytics-driven method for building ethical customer digital twins using neuromarketing and social media data

Okyere Sefa, Ama Anomwaa; Rezaei, Mohammadreza; … - 2026

As markets become increasingly digitalised, understanding the emotional and cognitive drivers of consumer behaviour is essential for developing responsive and targeted marketing strategies. This study contributes to the development of Customer Digital Twins (CDTs) by integrating neuromarketing...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015654343

An explainable transformer framework for sentiment analysis in aviation workforce data

Chakraborty, Sovon; Das, Protiva; Al Farid, Fahmid; … - 2026

Aviation is one of the predominant sectors that contribute significantly to the global economy. With the advent of technology, this industry is witnessing a paradigm shift towards data-driven approaches. The morale of the airline employees is barely noticed, which causes fatigue and depression....

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015654366

Fear and neutrality in disaster policy communication : emotion and topic structures from text analysis

Kim, So-yŏng; Kim, Wooje; Feiock, Richard C. - 2026

This study investigates emotional patterns in state government disaster guideline documents using keyword-level emotion analysis and TF-IDF based topic modeling, framing disaster policy communication as an emotional-cognitive dual structure, drawing from Situational Crisis Communication Theory....

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015654974

Investment with new sentiment analysis in Japanese stock market : expert knowledge can still outperform ChatGPT

Lin, Zhenwei; Nakano, Masafumi; Takahashi, Akihiko - 2026 - This version: March 4, 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015610056

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Investment with new sentiment analysis in Japanese stock market : expert knowledge can still outperform ChatGPT

Lin, Zhenwei; Nakano, Masafumi; Takahashi, Akihiko - 2025 - This version: March 27, 2025

Edition: This version: March 27, 2025

Book / Working Paper

Investment with new sentiment analysis in Japanese stock market : expert knowledge can still outperform ChatGPT

Lin, Zhenwei; Nakano, Masafumi; Takahashi, Akihiko - 2025 - This version: April 25, 2025

Edition: This version: April 25, 2025

Book / Working Paper

Measuring economic outlook in the news

Beck, Elliot; Eckert, Franziska; Kühne, Linus; … - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015615555

A momentum-based normalization framework for generating profitable analyst sentiment signals

McCarthy, Shawn; Alaghband, Gita - 2026

The diverse rating scales used by brokerage firms pose significant challenges for aggregating analyst recommendations in financial research. We develop a momentum-based normalization framework that transforms heterogeneous rating changes into standardized sentiment signals using firm-relative,...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015591134

Every signal counts : effects of ECB presidents' textual and voice sentiments on financial markets

Jurkšas, Linas; Kaminskas, Rokas; Akstinaitė, Vita - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015605059

Do anecdotes matter? : exploring the Beige Book through textual analysis from 1970 to 2025

Du, Shengwu; Haberkorn, Flora; Kitschelt, Isabel; Lee, … - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015605570

Employer expectations of business analysts : knowledge and insights from job offer analysis

Kowalska-Styczeń, Agnieszka; Juszczyk, Kinga - 2026

This study analyzed 1480 job advertisements for business analysts using natural language processing (NLP) and sentiment analysis. While confirming the demand for technical, analytical and communication skills, the study reveals important patterns that expand upon existing knowledge....

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015606812

Beyond influencers : leveraging large language models for dynamic content generation and citizen interaction in environmental campaigns

Mohammadian, Noushin; Valilai, Omid Fatahi - 2026

Addressing global environmental challenges necessitates an imperative shift in behavioural change and citizen engagement. This study centres on the integration of social media with Large Language Model (LLM) functionalities, sufficiently efficient in generating content relevant to the targeted...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015639594

Positive and negative narratives in the service of digital currencies as disruptive innovation

Peša, Anita; Valcic, Sonja Brlecic; Bubaš, Zoran - 2026

This research investigates the competing narratives surrounding decentralized cryptocurrencies, like Bitcoin, and state-backed Central Bank Digital Currencies (CBDCs). The primary contribution of this work is a conceptual model of these narratives, categorizing them into targeted positive and...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015639610

News-based inflation expectations : LLM-assisted measurement and forecasting

Tanisa Tawichsri; Suppawong Tuarob; Nuwat Nookhwun; … - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015650750

Validating Large Language Model annotations

Hansen, Anne Lundgaard - 2026 - This draft: March 11, 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015653112

Corporate self-representation on official websites : strategic signifiers and sentiment profiles

Kostelić, Katarina; Gonan Božac, Marli - 2026

Organizations communicate across many channels, yet official websites remain a controlled, authoritative space where firms articulate identity and strategy. This study examines how Croatia's top enterprises (n = 100) describe themselves on their websites and which emotional tones they use to...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015633936

Is the GPT model suitable for sentiment analysis? : testing for geographical, political and gender bias

Choczyńska, Agnieszka - 2026

The new generation of Large Language Models, based on Generative Pre-trained Transformers (GPT) can be useful for automatic text annotation and sentiment analysis. However, they tend to learn the bias from training data, which can lead to distorted results. In this paper, the GPT-4o-mini model...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015667496

Looking behind the fading feminist façade of #Girlboss

Kees, Cornelia - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015333484

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Looking behind the fading feminist façade of #Girlboss

Kees, Cornelia - 2025

Article

Monetary-Intelligent Language Agent (MILA)

Geiger, Felix; Kanelis, Dimitrios; Lieberknecht, Philipp; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015397844

The effects of air pollution on mood: Evidence from Twitter

Kecskšová, Michaela; Mikula, Stepan - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015448184

Organisational metamorphosis: Tracing sustainability integration through sentiment evolution in corporate reporting in Turkish companies

Balcioglu, Yavuz Selim; Merter, Abdullah Kürşat - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015463834

Beyond compliance: Multi-dimensional text mining analysis of corporate sustainability reporting

Şener, İrge; Karapolatgil, Ahmet Anıl - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015463847

The need for financial education in the face of the social media and cryptocurrency phenomenon

Gomez, Sonia Martin; Bartolomé Muñoz de Luna, Angel - 2025

Purpose - is to provide evidence of how social networks act as an indispensable channel in the cryptocurrency phenomenon and its public perception, analysing the context in which it occurs, as well as the patterns followed and the most commonly used channels. Research methodology - this article...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015444656

Show one more version 1

The need for financial education in the face of the social media and cryptocurrency phenomenon

Gomez, Sonia Martin - 2025

Article

From reviews to reflections: Understanding tourist sentiments and satisfaction in African destinations through user-generated content

Mensah, Esi Akyere; Odame, Doreen Nyarko Anyamesem; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015610445

From host's descriptions to guests' reviews: Semantic similarities

Cavique, Mariana; Ribeiro, Ricardo; Batista, Fernando; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015610512

Asymmetric effect of airline customer opinions for service quality attributes: Text mining approach

Eum, Seong-Won; Leem, Byunghak - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015617695

Electricity prices through the lens of sentiments for the UN and the IMF: An asymmetric approach for Türkiye

Deniz, Pinar; Stengos, Thanasēs - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015635696

From headlines to stock trends: Natural language processing and explainable artificial intelligence approach to predicting Türkiye's financial pulse

Ibrahim, Mahat Maalim; Khan, Asad ul Islam; Kaplan, Muhittin - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015635716

Weekdays vs. weekends: How reporting timing influences the sentiment of annual reports

Çinko, Levent; Merter, Abdullah Kürşat; Balcioglu, … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015635918

AI companionship or digital entrapment? : investigating the impact of anthropomorphic AI-based chatbots

Richet, Jean-Loup - 2025

Anthropomorphic AI-based chatbots are reshaping human-machine interactions, enabling users to form emotional bonds with AI agents. While these systems provide companionship and engagement, they also raise concerns regarding digital entrapment: a complex and circular causal loop, progressively...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015546344

Dumb money? : Social network attention herding, sentiment, and markets

Huang, Chengcheng Charlie; Shum Nolan, Pauline - 2025

Wallstreetbets (WSB) is the perfect echo chamber to study retail investor behaviour and markets. We introduce a direct measure of individual stock attention and the concept of forum-wide attention herding. We fine-tune a large language model to classify investor sentiment. We find that WSB...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015654810

Beyond static rankings : a tourist experience-driven approach to measure destination competitiveness

Chen, Jinyan; Wu, Jie; Wang, Danni; Stantic, Bela - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015078076

The role of Neobanks and FinTech in sustainable finance and technology : the customer-user perspective for entrepreneurs

Palos-Sanchez, Pedro R.; Chang-Tam, Raúl J.; … - 2025

The emergence of neobanks is considered a change in the current banking model and has caused a change in consumer expectations regarding their financial experience and sustainable technology. This research analyzes users feelings, words and opinions about neobanks, and determines the critical...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015548914

Exploiting news analytics for volatility forecasting

Tranberg Bodilsen, Simon; Lunde, Asger - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015372704

Rating with the senses : how sensory encounters are reflected on online review ratings?

Hallikainen, Heli; Halinen, Marianna; Tervonen, Hannes; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015372971

Analyzing and forecasting P/E ratios using investor sentiment in panel data regression and LSTM models

Dolaeva, Aishat; Beliaeva, Uliana; Grigoriev, Dmitry; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015330658

Tweet sentiments : understanding X (Twitter) users' perceptions of the Russia-Ukrainian crisis on consumer behavior and the economy

Das, Subhankar; Mondal, Subhra Rani; Majerova, Jana; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015333775

Asymmetric effect of airline customer opinions for service quality attributes : text mining approach

Eum, Seong-Won; Leem, Byunghak - 2025

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;...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015334433

Mood and emotion assessment for risk reduction of pandemic spread through passenger air transport : a DSS applied to the COVID-19 in the case of Spain

Aguarón, J.; Altuzarra, A.; Aznar, R.; Escobar, María … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015338256

Exploring consumer sentiments in telemedicine and telehealth services : towards an integrated framework for innovation

Binsar, Faisal; Arief, Mts; Tjhin, Viany Utami; … - 2025

This study explores consumer sentiments towards telemedicine and telehealth services using data from various digital platforms. Leveraging Brand24 for real-time data collection and NVivo 14 for in-depth content analysis, the research examines netizen reviews to reveal their perceptions,...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015358545

Improved LSTM hyperparameters alongside sentiment walk-forward validation for time series prediction

Wahyuddin, Eko Putra; Caraka, Rezzy Eko; Kurniawan, Robert - 2025

This study aims to address the common issue of biased estimation errors in time series modeling by analyzing the error in locating ideal hyperparameters and defining appropriate validation methods. Specifically, it focuses on predicting the stock price of Bank Rakyat Indonesia using a...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015358559

Monetary-Intelligent Language Agent (MILA)

Geiger, Felix; Kanelis, Dimitrios; Lieberknecht, Philipp; … - 2025

Central bank communication has become a crucial tool for steering the monetary policy stance and shaping the outlook of market participants. Traditionally, analyzing central bank communication required substantial human effort, expertise, and resources, making the process time-consuming. The...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015394304

From reviews to reflections : understanding tourist sentiments and satisfaction in African destinations through user-generated content

Mensah, Esi Akyere; Odame, Doreen Nyarko Anyamesem; … - 2025

User-generated content continues to shape global tourism trends, yet Africa's growing tourism sector has received limited attention. This study addresses this gap by investigating tourist sentiments and satisfaction across ten African destinations from 2018 to 2023. Employing a mixed method...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015416429

A systematic review of sentiment analytics in banking headlines

Jayanthakumaran, Muhunthan; Shukla, Nagesh; Pradhan, … - 2025

This systematic review investigates sentiment analysis of news headlines in the banking sector, a field susceptible to public sentiment, as demonstrated by phenomena like bank runs leading to rapid deposit withdrawals. We trace the evolution of analytic methods from traditional machine learning...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015420485

Hacia un diccionario Panhispánico de sentimiento de la estabilidad financiera

Carbó, José Manuel; Toledo, Cláudia; Moreno, Ángel Iván - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015463691

Impact of real-time public sentiment on herding behavior in Taiwan's stock market : insights across investor types and industries

Yang, Yiwen; Lin, Yi-Wei; Cheng, Li-Chen - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015466446

Enhancing stock market predictions for classifying unlabelled celebrities' twitter data

Baljinder Singh; Kaur, Mandeep; Gurbinder Singh Brar; … - 2025

This work introduces a novel method for sentiment analysis in the stock market by combining Deep Neural Networks (DNN) and an improved Firefly Algorithm (FA). It is essential to comprehend investor sentiment in financial markets in order to forecast stock price movements and make wise investment...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015468119

Value-at-risk forecasting- based on textual information and a hybrid deep learning-based approach

Cao, Yangfan; Choo, Wei Chong; Matemilola, Bolaji Tunde - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015470184

Electricity prices through the lens of sentiments for the UN and the IMF : an asymmetric approach for Türkiye

Deniz, Pinar; Stengos, Thanasēs - 2025

This study examines the impact of the tone used in communication by two major international organizations, the United Nations (UN) and the International Monetary Fund (IMF), on electricity prices in Türkiye, an energy-dependent developing country with the highest-growing energy demand among...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015472074

Weekdays vs. weekends : how reporting timing influences the sentiment of annual reports

Çinko, Levent; Merter, Abdullah Kürşat; Balcioglu, … - 2025

This study examines the impact of financial disclosure timing on the sentiment of corporate reports within an emerging market context. Leveraging a comprehensive dataset covering quarterly reports from all firms listed on Borsa Istanbul between 2018 and 2023, we categorized firms into three...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015472381

Predictive capacities of social media in the financial market: ARX-GARCH model

Michalak, Joanna - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015405386