Search Results - subject:"Sentiment analysis"

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

Eum, Seong-Won; Leem, Byunghak - In: Businesses 5 (2025) 1, pp. 1-17

three-factor theory and to build an Asymmetric Impact-Sentiment Analysis (AISA) for resource allocation prioritization. We …

Persistent link: https://www.econbiz.de/10015334433

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

Eum, Seong-Won; Leem, Byunghak - In: Businesses 5 (2025) 1, pp. 1-17

three-factor theory and to build an Asymmetric Impact-Sentiment Analysis (AISA) for resource allocation prioritization. We …

Persistent link: https://www.econbiz.de/10015617695

Optimizing aspect-based sentiment analysis using sentence embedding transformer, Bayesian search clustering, and sparse attention mechanism

Marutho, Dhendra; Muljono; Rustad, Supriadi; Purwanto - In: Journal of open innovation : technology, market, and … 10 (2024) 1, pp. 1-19

The aspect-based sentiment analysis of hotel reviews represents a critical yet underexplored area of research. Such … research in Aspect-Based Sentiment Analysis (ABSA) frequently employs word embedding techniques for feature extraction …

Persistent link: https://www.econbiz.de/10014518821

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

Kostelić, Katarina; Gonan Božac, Marli - In: Administrative Sciences : open access journal 16 (2026) 3, pp. 1-21

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/10015633936

Measuring economic outlook in the news

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

Persistent link: https://www.econbiz.de/10015615555

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

Kowalska-Styczeń, Agnieszka; Juszczyk, Kinga - In: Journal of innovation & knowledge : JIK 11 (2026), pp. 1-12

, and advanced analytical capabilities. Sentiment analysis reveals that employers predominantly use neutral or positive …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 …

Persistent link: https://www.econbiz.de/10015606812

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

McCarthy, Shawn; Alaghband, Gita - In: International Journal of Financial Studies : open … 14 (2026) 1, pp. 1-34

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/10015591134

Beyond pure hype: news sentiment and its role in the BTC and ETH futures market

Kreuzer, Christian; Sparrer, Christian; Dorfleitner, Gregor - In: Review of Derivatives Research 29 (2026) 1

Unlike traditional assets, cryptocurrencies lack fundamental information such as dividends, earnings, or cash flows, requiring market participants to rely on alternative sources of information for price discovery and trading decisions. In this study, we analyze the relationship between news...

Persistent link: https://www.econbiz.de/10015564084

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

Regitz, Dominic; Höpken, Wolfram; Fuchs, Matthias - In: Information Technology & Tourism 28 (2026) 1

clustering-based topic detection and lexicon-based sentiment analysis is followed by a regression analysis, to identify factors …

Persistent link: https://www.econbiz.de/10015618050

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

Mohammadian, Noushin; Valilai, Omid Fatahi - In: Journal of open innovation : technology, market, and … 12 (2026) 1, pp. 1-15

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/10015639594