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Text as priors

Ge, Shuyi; Li, Shaoran; Linton, Oliver; Su, Wen - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015655582

Sentiment and uncertainty indices from economic news in Colombia

Mora-Quiñones, Rocío Clara A.; Orozco, Antonio; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015562532

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://ebvufind01.dmz1.zbw.eu/10015610056

Show 2 more versions 2

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

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://ebvufind01.dmz1.zbw.eu/10015610056

Show 2 more versions 2

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

Enlightenment ideals and belief in progress in the run-up to the industrial revolution : a textual analysis

Almelhem, Ali; Iyigun, Murat; Kennedy, Austin; Rubin, Jared - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015614133

Knowledge flows through text data : the case of Milan's tech ecosystem

Marra, Alessandro; D'Isidoro, Andrea; Sarra, Alessandro - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015652826

Has corporate culture of innovation improved or diminished over time? : insights from textual analysis and board composition

Viput Ongsakul; Pornsit Jiraporn; Pattanaporn Chatjuthamard - 2026

This study examines the evolution of corporate innovation culture, focusing on how board independence and gender diversity impact this trend. It seeks to determine whether innovation culture has strengthened over time and to identify the role of board composition in fostering innovation.Using a...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016072530

Reddit’s ‘pulse’ on US inflation : forecasting with large language models

Del Monaco, Andrea; Longo, Luigi; Marcucci, Juri; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016062915

An intelligent text analytics approach to sentiment-based portfolio decision making in the electric vehicle market

Ghiassi, Manoochehr; Shah, Kush; Agrawal, Mehak; … - 2026

Investment portfolio management increasingly requires the integration of financial fundamentals with market sentiment derived from rapidly expanding online information sources. The widespread availability of real-time financial news and opinion-based content has heightened the complexity of...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016082745

Bankruptcy prediction from 10-K narratives : evidence from interpretable text scores and accounting baselines

Zhang, Zhen; Zheng, Moxuan; Zhang, Tongchen; Lin, Luyun; … - 2026

This study examines whether context-validated acute distress disclosures in annual Form 10-K filings improve bankruptcy-risk ranking beyond accounting variables. The analysis links U.S. Securities and Exchange Commission filing data, Item 7 Management's Discussion and Analysis text, and...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016087212

Measuring data-driven innovation in firms : a multi-source approach using Large Language Models

Abbonato, Diletta; Biggi, Gianluca; Bottai, Carlo; … - 2026

This study presents a comprehensive framework for identifying and measuring Data-Driven Innovation (DDI) at the firm level. We develop a conceptual definition of DDI grounded in the chain-linked model of innovation, where data infrastructure and advanced analytics augment each stage of the...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016085784

Measuring sentiment news with transformer-based language models

Mavillonio, Maria S.; Borgioli, Stefano; Gallo, Giampiero M. - 2026

Measuring sentiment from financial news is a central task in economics and finance, yet most existing indicators rely on dictionary-based approaches that infer sentiment from word counts and only partially capture context, negation, and semantic structure. This paper proposes a framework for...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016089966

Service quality dimensions in Austrian food retailing : a text mining approach for physical retail stores

Falatouri, Taha; Brandtner, Patrick; Nasseri, Mehran; … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015546810

Intangible Intensity

Eisfeldt, Andrea L.; Hartman-Glaser, Barney; Kim, Edward T. - 2026

We develop a text-based measure of intangible investment intensity derived from firms' 10-K filings, and offer a general methodology for semantic theme scoring (STS). Our approach further classifies disclosure text into knowledge, customer, and organization capital. Firms with high intangible...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015611186

Theme park reviews : how text mining cognitive characteristics and emotions can determine theme park image

Liu, Yufei; Li, Yunpeng; Ma, Shihan; Li, Jingjing - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015632121

Opinion Piece : how to pre-register experimental studies that involve machine learning for text data analysis

Bruttel, Lisa Verena; Nithammer, Juri - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015485864

Predicting financial distress using textual risk disclosures in annual reports : how and what risks are disclosed?

Zhu, Xiaoqian; Sun, Hao; Chang, Yanpeng; Li, Jianping - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016064282

Do P2P borrowers improve the quality of information disclosure? : an analysis with text mining on loan descriptions

Chen, Yuan; Feng, Ji; Li, Xun; Yu, Shijie - 2025

Most of peer-to-peer (P2P) online borrowers are small business managers. The learning behavior of borrowers in the P2P market is rarely studied. The aim of this paper is to identify the existence of borrowers' learning behavior in the P2P market using a large sample from renrendai.com, which is...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015371227

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://ebvufind01.dmz1.zbw.eu/10015334433

Investigating privacy preservation of language models in legal text summarization : a preliminary study

Hughes, Anthony; Ma, Ning; Aletras, Nikolaos - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016070320

Risk-based peer networks and return predictability : evidence from textual analysis on 10-K filings

Yuan, Jian; Zhang, Yiming - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016071044

Text analysis methods for historical letters, the case of Michelangelo Buonarrotti

Gatti, Fabio; Huesler, Joel - 2025

The correspondence of historical personalities serves as a rich source of psychological, social, and economic information. Letters were indeed used as means of communication within the family circles but also a primary method for exchanging information with colleagues, subordinates, and...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015416412

Sentiment analysis using machine learning in stock market : a bibliometric visualization

Shivani; Bodla, Bhag Singh - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016073686

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://ebvufind01.dmz1.zbw.eu/10015420485

Text analysis methods for historical letters, the case of Michelangelo Buonarroti

Gatti, Fabio; Huesler, Joel - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015467023

Practical data mining with AI for social scientists

Kirilenko, Andrei - 2026

This book is designed as a foundational textbook for upper-level undergraduate and graduate students from non-technical fields who want to acquire a basic understanding of data science and learn practical skills in data analysis. It distinguishes itself by combining theoretical knowledge with...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015617572

Extracting the Federal Reserve's priorities and transparency from FOMC statements using textual data mining tools

Faras, Reyadh; Alshameri, Faleh; Bash, Ahmad - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015454729

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 Handling, Regular Expressions, and Data Structures -- Obtaining Textual Data for Marketing Analytics, Web Scraping, APIs, and Structured Sources -- Basic Text Analysis,...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015607580

Effect of COVID-19 : understanding customer's evaluation on hotel and airline sector$da text mining approach

Sekar, Srinivasan; Santhanam, Nivethitha - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016084919

Unleashing the power of text for credit default prediction : comparing human-written and generative AI-refined texts

Wu, Zongxiao; Dong, Yizhe; Li, Yaoyiran; Shi, Baofeng - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015433483

When the crowd speaks : AI-based retail investor sentiment indicator with Reddit data

Wagner, Fabian; Metzler, Julian - 2026

Retail investors increasingly discuss markets in real time on social media, yet these discussions remain difficult to measure systematically. This paper introduces the Reddit Retail Investor Sentiment Indicator (R-RISI), a high-frequency measure of retail investor sentiment based on Reddit posts...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016090952

E-tailers' Twitter (X) communication : a textual analysis

Kalia, Prateek; Kaur, Manpreet; Thomas, Asha - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015456254

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

Şener, İrge; Karapolatgil, Ahmet Anıl - 2025

This study investigates how organisations respond to Corporate Sustainability Reporting Directive (CSRD) requirements through systematic analysis of corporate communications and sustainability reports. We employ multi-dimensional text mining analysis of 500 companies across 12 industries, using...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015461855

Advancing text classification : a novel two-stage multi-objective feature selection framework

Liu, Yan; Cheng, Xian; Liao, Shaoyi; Wei, Shansen - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016091543

A systematic review of text mining analytics for supply chain risk management using online data

Gelastopoulos, Georgios; Keramydas, Christos - 2025

Global supply chains are increasingly complex and vulnerable, requiring new approaches for detecting and managing risks. Text mining, a branch of natural language processing, can extract insights from unstructured online data such as news, reports, and social media. This paper presents a...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015607898

Why do investors like short-leg securities? : evidence from a textual analysis of buy recommendations

Chen, Hailiang; Hwang, Byoung-Hyoun; Peng, Zhuozhen - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015614314

Exploring knowledge structure of "dual carbon" policies : combining computational text mining and knowledge graph

Fu, Yuan; Wen, Peihan; Wu, Junlin; Shu, Yujiao - 2025

To support energy transition and climate action, China has announced its "dual carbon" goals and introduced a series of related policies. However, these policies remain disorganised and scattered across various platforms and formats, posing significant challenges for accessibility and effective...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015596660

Measuring technology catching up of automotive industry in Thailand by text mining of patent information

Suchit Pongnumkul; Motohashi, Kazuyuki - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015628627

Sustainability in the corporate sector : a news textual analysis approach to measuring ESG performance

Imron, Mohammad Izzat Raihan - 2025

Sustainability has become a crucial factor in the financial sector, making the assessment of a company's sustainability performance essential for informed decision-making. Recognizing the media's power to shape public perception of corporate sustainability issues, this study examines the use of...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015414724

A new approach to textual analysis using large language models : application to the analysis of recent wage and price developments in Japan

Izawa, Kimihiko; Kamei, Ikuo; Shibata, Nao; Takahashi, … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015573426

Measuring value-based management using natural language processing

Wobst, Janice; Röttger, Philipp; Lueg, Rainer - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016059581

The evolution of university technology transfer research : a text mining approach

Cunningham, James; Menter, Matthias; Starke, Felix - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015676673

Can investors learn from patent documents? : evidence from textual analysis

Zheng, Yuxiang - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015463684

Improving text classification : logistic regression makes small LLMs strong and explainable "tens-of-shot" classifiers

Buckmann, Marcus; Hill, Ed - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016063164

Unlocking bankruptcy clues : a novel sentence-based machine learning approach

Loy, Thomas - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016092131

From crisis to advocacy : tracing the emergence and evolution of the LGBTQIA+ consumer market

Montecchi, Matteo; Micheli, Maria R.; Campana, Mario; … - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014635369

How to make evaluations of EU cohesion policy more credible

Asatryan, Zareh; Birkholz, Carlo; Heinemann, Friedrich - 2024

The EU's Cohesion Policy (CP) intends to promote European economic, social, and territorial cohesion. The policy occupies about a third of the EU budget and it is the most evaluated of all EU policies. With the support of the German Ministry of Finance, two in-depth ZEW research papers by...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014566812

Optimising text mining applications for enhanced medical decision making

Zwawi, Rym; Elhadjamor, Emna Ammar; Ayachi Ghannouchi, Sonia - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015654511

Understanding critical service factors in neobanks : crafting strategies through text mining

Bhatnagr, Puneett; Rajesh, Anupama; Misra, Richa - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015373117

Optimal text-based time-series indices

Ardia, David; Bluteau, Keven - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014575788