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Good debt or bad debt: Detecting semantic orientations in economic texts

Citations

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Cited by:

  1. David M. Goldberg & Nohel Zaman & Arin Brahma & Mariano Aloiso, 2022. "Are mortgage loan closing delay risks predictable? A predictive analysis using text mining on discussion threads," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(3), pages 419-437, March.
  2. Chen, Cathy Yi-Hsuan & Fengler, Matthias R. & Härdle, Wolfgang Karl & Liu, Yanchu, 2022. "Media-expressed tone, option characteristics, and stock return predictability," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
  3. Yi-Hsuan Chen, Cathy & Fengler, Matthias & Härdle, Wolfgang Karl & Liu, Yanchu, 2018. "Textual Sentiment, Option Characteristics, and Stock Return Predictability," Economics Working Paper Series 1808, University of St. Gallen, School of Economics and Political Science.
  4. Boyu Zhang & Hongyang Yang & Xiao-Yang Liu, 2023. "Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models," Papers 2306.12659, arXiv.org.
  5. Krishna Neupane & Prem Sapkota & Ujjwal Prajapati, 2026. "Beyond the Numbers: Causal Effects of Financial Report Sentiment on Bank Profitability," Papers 2602.17851, arXiv.org.
  6. Shangyang Mou & Qiang Xue & Xunquan Chen & Jinhui Chen & Ryoichi Takashima & Tetsuya Takiguchi & Yasuo Ariki, 2025. "Prefix tuning with prompt augmentation for efficient financial news summarization," Journal of Computational Social Science, Springer, vol. 8(1), pages 1-16, February.
  7. Zonghan Wu & Congyuan Zou & Junlin Wang & Chenhan Wang & Hangjing Yang & Yilei Shao, 2025. "Towards Competent AI for Fundamental Analysis in Finance: A Benchmark Dataset and Evaluation," Papers 2506.07315, arXiv.org, revised Nov 2025.
  8. Wehrheim, Lino, 2021. "The sound of silence: On the (in)visibility of economists in the media," Working Papers 30, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
  9. Andreas Aigner, 2026. "Hybrid News Sentiment Engine: Real-Time Market Analysis via Adaptive Ensemble Learning on News-Price Pairs," Papers 2606.03457, arXiv.org.
  10. Travis Adams & Andrea Ajello & Diego Silva & Francisco Vazquez-Grande, 2023. "More than Words: Twitter Chatter and Financial Market Sentiment," Papers 2305.16164, arXiv.org.
  11. Thomas R. Cook & Sophia Kazinnik & Anne Lundgaard Hansen & Peter McAdam, 2023. "Evaluating Local Language Models: An Application to Bank Earnings Calls," Research Working Paper RWP 23-12, Federal Reserve Bank of Kansas City.
  12. Ankur Sinha & Chaitanya Agarwal & Pekka Malo, 2025. "FinBloom: Knowledge Grounding Large Language Model with Real-time Financial Data," Papers 2502.18471, arXiv.org, revised Feb 2026.
  13. Xiao-Yang Liu & Guoxuan Wang & Hongyang Yang & Daochen Zha, 2023. "FinGPT: Democratizing Internet-scale Data for Financial Large Language Models," Papers 2307.10485, arXiv.org, revised Nov 2023.
  14. Dolaeva, Aishat & Beliaeva, Uliana & Grigoriev, Dmitry & Semenov, Alexander & Rysz, Maciej, 2025. "Analyzing and forecasting P/E ratios using investor sentiment in panel data regression and LSTM models," International Review of Economics & Finance, Elsevier, vol. 98(C).
  15. Fengbin Zhu & Junfeng Li & Liangming Pan & Wenjie Wang & Fuli Feng & Chao Wang & Huanbo Luan & Tat-Seng Chua, 2025. "Towards Temporal-Aware Multi-Modal Retrieval Augmented Generation in Finance," Papers 2503.05185, arXiv.org, revised Aug 2025.
  16. Toby Barter & Zheng Gao & Eva Christodoulaki & Jing Chen & John Cartlidge, 2025. "BondBERT: What we learn when assigning sentiment in the bond market," Papers 2511.01869, arXiv.org, revised Dec 2025.
  17. Andrea Ajello & Diego Silva & Travis Adams & Francisco Vazquez-Grande, 2023. "More than Words: Twitter Chatter and Financial Market Sentiment," Finance and Economics Discussion Series 2023-034, Board of Governors of the Federal Reserve System (U.S.).
  18. Jozef Barunik & Cathy Yi-Hsuan Chen & Jan Vecer, 2019. "Sentiment-Driven Stochastic Volatility Model: A High-Frequency Textual Tool for Economists," Papers 1906.00059, arXiv.org.
  19. Chandan Singh & Armin Askari & Rich Caruana & Jianfeng Gao, 2023. "Augmenting interpretable models with large language models during training," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
  20. Joni Heikkinen & Kari Heimonen, 2025. "Media Tone: The Role of News and Social Media on Heterogeneous Inflation Expectations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(3), pages 881-921, April.
  21. Mehmet Caner & Agostino Capponi & Nathan Sun & Jonathan Y. Tan, 2026. "Designing Agentic AI-Based Screening for Portfolio Investment," Papers 2603.23300, arXiv.org, revised Aug 2026.
  22. Chao Li & Alexander Ryota Keeley & Shutaro Takeda & Daikichi Seki & Shunsuke Managi, 2025. "ESG Tendencies From News Investigated by AI Trained by Human Intelligence," Business Strategy and the Environment, Wiley Blackwell, vol. 34(2), pages 1880-1895, February.
  23. Lucas Eduardo Pereira Teles & Carlos M. S. Figueiredo, 2025. "Comparing LLMs for Sentiment Analysis in Financial Market News," Papers 2510.15929, arXiv.org.
  24. Sinha, Ankur & Kedas, Satishwar & Kumar, Rishu & Malo, Pekka, 2019. "Buy, Sell or Hold: Entity-Aware Classification of Business News," IIMA Working Papers WP 2019-04-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
  25. Yong Xie & Dakuo Wang & Pin-Yu Chen & Jinjun Xiong & Sijia Liu & Sanmi Koyejo, 2022. "A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Predictions," Papers 2205.01094, arXiv.org, revised Jul 2022.
  26. Fang, Jiaqi & Su, Bixiang & Wang, Shuzhen & Wang, Bin, 2026. "Uncovering the risks of digital supply chains: A large language model framework for semantic identification and validation," International Journal of Production Economics, Elsevier, vol. 291(C).
  27. Paola Cerchiello & Giancarlo Nicola, 2017. "Assessing News Contagion in Finance," DEM Working Papers Series 139, University of Pavia, Department of Economics and Management.
  28. Fabian Billert & Stefan Conrad, 2024. "A Framework for the Construction of a Sentiment-Driven Performance Index: The Case of DAX40," Papers 2409.20397, arXiv.org.
  29. Xu Gong & Keqin Guan & Qiyang Chen, 2022. "The role of textual analysis in oil futures price forecasting based on machine learning approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1987-2017, October.
  30. Kirtac, Kemal & Germano, Guido, 2024. "Sentiment trading with large language models," Finance Research Letters, Elsevier, vol. 62(PB).
  31. Abdollahi, Hooman & Fjesme, Sturla L. & Sirnes, Espen, 2024. "Measuring market volatility connectedness to media sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
  32. Paola Cerchiello & Giancarlo Nicola, 2018. "Assessing News Contagion in Finance," Econometrics, MDPI, vol. 6(1), pages 1-19, February.
  33. Giorgos Iacovides & Wuyang Zhou & Danilo Mandic, 2025. "FinDPO: Financial Sentiment Analysis for Algorithmic Trading through Preference Optimization of LLMs," Papers 2507.18417, arXiv.org.
  34. Ankur Sinha & Satishwar Kedas & Rishu Kumar & Pekka Malo, 2022. "SEntFiN 1.0: Entity‐aware sentiment analysis for financial news," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(9), pages 1314-1335, September.
  35. Anne Lundgaard Hansen, 2026. "Validating Large Language Model Annotations," Finance and Economics Discussion Series 2026-020, Board of Governors of the Federal Reserve System (U.S.).
  36. Tri Minh Phan, 2024. "Sentiment-semantic word vectors: A new method to estimate management sentiment," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 160(1), pages 1-22, December.
  37. Yuke Zhang, 2025. "Interpretable Machine Learning for Macro Alpha: A News Sentiment Case Study," Papers 2505.16136, arXiv.org.
  38. Darko B. Vuković & Senanu Dekpo-Adza & Stefana Matović, 2025. "AI integration in financial services: a systematic review of trends and regulatory challenges," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-29, December.
  39. Priyank Sonkiya & Vikas Bajpai & Anukriti Bansal, 2021. "Stock price prediction using BERT and GAN," Papers 2107.09055, arXiv.org.
  40. Runmei Luo & Yong Ye, 2024. "Pressure from words: The tone of investors in Chinese earnings communication conferences and managerial myopia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 833-868, March.
  41. Paola Cerchiello & Giancarlo Nicola & Samuel Rönnqvist & Peter Sarlin, 2017. "Deep Learning Bank Distress from News and Numerical Financial Data," DEM Working Papers Series 140, University of Pavia, Department of Economics and Management.
  42. Neng Wang & Hongyang Yang & Christina Dan Wang, 2023. "FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets," Papers 2310.04793, arXiv.org, revised Nov 2023.
  43. Leippold, Markus, 2023. "Sentiment spin: Attacking financial sentiment with GPT-3," Finance Research Letters, Elsevier, vol. 55(PB).
  44. Olivia Zhang & Zhilin Zhang, 2026. "A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspective," Papers 2605.05211, arXiv.org.
  45. Boyu Zhang & Hongyang Yang & Tianyu Zhou & Ali Babar & Xiao-Yang Liu, 2023. "Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models," Papers 2310.04027, arXiv.org, revised Nov 2023.
  46. Mantas Lukauskas & Vaida Pilinkienė & Jurgita Bruneckienė & Alina Stundžienė & Andrius Grybauskas & Tomas Ruzgas, 2022. "Economic Activity Forecasting Based on the Sentiment Analysis of News," Mathematics, MDPI, vol. 10(19), pages 1-22, September.
  47. Martina Halouskov'a & v{S}tefan Ly'ocsa, 2025. "Forecasting U.S. equity market volatility with attention and sentiment to the economy," Papers 2503.19767, arXiv.org.
  48. Duygu Ider & Stefan Lessmann, 2022. "Forecasting Cryptocurrency Returns from Sentiment Signals: An Analysis of BERT Classifiers and Weak Supervision," Papers 2204.05781, arXiv.org, revised Mar 2023.
  49. Moritz Scherrmann, 2023. "Multi-Label Topic Model for Financial Textual Data," Papers 2311.07598, arXiv.org.
  50. Costola, Michele & Hinz, Oliver & Nofer, Michael & Pelizzon, Loriana, 2023. "Machine learning sentiment analysis, COVID-19 news and stock market reactions," Research in International Business and Finance, Elsevier, vol. 64(C).
  51. Alejandro Lopez-Lira & Jihoon Kwon & Sangwoon Yoon & Jy-yong Sohn & Chanyeol Choi, 2025. "Bridging Language Models and Financial Analysis," Papers 2503.22693, arXiv.org, revised May 2026.
  52. Abdollahi, Hooman & Junttila, Juha-Pekka & Lehkonen, Heikki, 2024. "Clustering asset markets based on volatility connectedness to political news," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 93(C).
  53. Emre Cicekyurt & Gokhan Bakal, 2026. "Enhancing Sentiment Analysis in Stock Market Tweets Through BERT-Based Knowledge Transfer," Computational Economics, Springer;Society for Computational Economics, vol. 67(2), pages 855-877, February.
  54. Julian Junyan Wang & Victor Xiaoqi Wang, 2025. "Assessing Consistency and Reproducibility in the Outputs of Large Language Models: Evidence Across Diverse Finance and Accounting Tasks," Papers 2503.16974, arXiv.org, revised Sep 2025.
  55. Marcus Buckmann & Ed Hill, 2025. "Improving text classification: logistic regression makes small LLMs strong and explainable ‘tens-of-shot’ classifiers," Bank of England Staff Working Paper series 1127, Bank of England.
  56. Ingrid E. Fisher & Margaret R. Garnsey & Mark E. Hughes, 2016. "Natural Language Processing in Accounting, Auditing and Finance: A Synthesis of the Literature with a Roadmap for Future Research," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(3), pages 157-214, July.
  57. Baptiste Lefort & Eric Benhamou & Jean-Jacques Ohana & David Saltiel & Beatrice Guez, 2024. "Optimizing Performance: How Compact Models Match or Exceed GPT's Classification Capabilities through Fine-Tuning," Papers 2409.11408, arXiv.org.
  58. Bledar Fazlija & Pedro Harder, 2022. "Using Financial News Sentiment for Stock Price Direction Prediction," Mathematics, MDPI, vol. 10(13), pages 1-20, June.
  59. Liyuan Chen & Shuoling Liu & Jiangpeng Yan & Xiaoyu Wang & Henglin Liu & Chuang Li & Kecheng Jiao & Jixuan Ying & Yang Veronica Liu & Qiang Yang & Xiu Li, 2025. "Advancing Financial Engineering with Foundation Models: Progress, Applications, and Challenges," Papers 2507.18577, arXiv.org, revised Dec 2025.
  60. Tingsong Jiang & Qingyun Zeng, 2023. "Financial sentiment analysis using FinBERT with application in predicting stock movement," Papers 2306.02136, arXiv.org, revised Jun 2025.
  61. Yuqi Nie & Yaxuan Kong & Xiaowen Dong & John M. Mulvey & H. Vincent Poor & Qingsong Wen & Stefan Zohren, 2024. "A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges," Papers 2406.11903, arXiv.org.
  62. Raeid Saqur & Ken Kato & Nicholas Vinden & Frank Rudzicz, 2024. "NIFTY Financial News Headlines Dataset," Papers 2405.09747, arXiv.org.
  63. Bommes, Elisabeth & Chen, Cathy Yi-Hsuan & Härdle, Wolfgang Karl, 2018. "Textual Sentiment and Sector specific reaction," IRTG 1792 Discussion Papers 2018-043, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  64. Yi Yang & Yixuan Tang & Kar Yan Tam, 2023. "InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning," Papers 2309.13064, arXiv.org.
  65. Borchert, Philipp & Coussement, Kristof & De Weerdt, Jochen & De Caigny, Arno, 2024. "Industry-sensitive language modeling for business," European Journal of Operational Research, Elsevier, vol. 315(2), pages 691-702.
  66. Kemal Kirtac & Guido Germano, 2025. "Large language models in finance : what is financial sentiment?," Papers 2503.03612, arXiv.org, revised Mar 2025.
  67. Markus Haavio & Joni Heikkinen & Pirkka Jalasjoki & Juha Kilponen & Maritta Paloviita & Ilona Vänni, 2026. "Reading between the lines - uncovering asymmetry in the central bank loss function," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Statistics and beyond: new data for decision making in central banks, volume 66, Bank for International Settlements.
  68. Chiu, I-Chan & Hung, Mao-Wei, 2025. "Finance-specific large language models: Advancing sentiment analysis and return prediction with LLaMA 2," Pacific-Basin Finance Journal, Elsevier, vol. 90(C).
  69. Samuel Ronnqvist & Peter Sarlin, 2016. "Bank distress in the news: Describing events through deep learning," Papers 1603.05670, arXiv.org, revised Dec 2016.
  70. Agam Shah & Sudheer Chava, 2023. "Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Tasks," Papers 2305.16633, arXiv.org.
  71. Asier Guti'errez-Fandi~no & Miquel Noguer i Alonso & Petter Kolm & Jordi Armengol-Estap'e, 2021. "FinEAS: Financial Embedding Analysis of Sentiment," Papers 2111.00526, arXiv.org, revised Nov 2021.
  72. Bilal Taskin & Fuat Akal, 2025. "Tales of Turbulence: BERT-based Multimodal Analysis of FED Communication Dynamics Amidst COVID-19 Through FOMC Minutes," Computational Economics, Springer;Society for Computational Economics, vol. 65(1), pages 117-146, January.
  73. Babolmorad, N. & Massoud, N., 2025. "Supervising Sentiment Models: Market Signals or Human Expertise?," Cambridge Working Papers in Economics 2577, Faculty of Economics, University of Cambridge.
  74. Jimin Huang & Mengxi Xiao & Dong Li & Zihao Jiang & Yuzhe Yang & Yifei Zhang & Lingfei Qian & Yan Wang & Xueqing Peng & Yang Ren & Ruoyu Xiang & Zhengyu Chen & Xiao Zhang & Yueru He & Weiguang Han & S, 2024. "Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications," Papers 2408.11878, arXiv.org, revised Jun 2025.
  75. Alex Kim & Sangwon Yoon, 2023. "Corporate Bankruptcy Prediction with Domain-Adapted BERT," Papers 2312.03194, arXiv.org.
  76. Daniel Anyebe & Antonio Di Bari & Domenico Santoro & Giovanni Villani, 2026. "A PPP Projects Valuation: Real Options, Competition and Anchoring Bias," Computational Economics, Springer;Society for Computational Economics, vol. 68(2), pages 1471-1491, August.
  77. Abel Díaz Berenguer & Yifei Da & Matías Nicolás Bossa & Meshia Cédric Oveneke & Hichem Sahli, 2024. "Causality-driven multivariate stock movement forecasting," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-41, April.
  78. Jean Lee & Nicholas Stevens & Soyeon Caren Han & Minseok Song, 2024. "A Survey of Large Language Models in Finance (FinLLMs)," Papers 2402.02315, arXiv.org.
  79. Agam Shah & Arnav Hiray & Pratvi Shah & Arkaprabha Banerjee & Anushka Singh & Dheeraj Eidnani & Sahasra Chava & Bhaskar Chaudhury & Sudheer Chava, 2024. "Numerical Claim Detection in Finance: A New Financial Dataset, Weak-Supervision Model, and Market Analysis," Papers 2402.11728, arXiv.org, revised Oct 2024.
  80. Song, Piaopeng & Lu, Hanglin & Zhang, Yongjie, 2024. "Unveiling tone manipulation in MD&A: Evidence from ChatGPT experiments," Finance Research Letters, Elsevier, vol. 67(PA).
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