Image de couverture de livre

Integrating Natural Language Processing Techniques of Text Mining Into Financial System: Applications and Limitations

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Millo, Denisa, Vika, Blerina, Baci, Nevila
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Artificial Intelligence General Economics Economics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice
par: Zhu, Jian-Qiao, et autres
Publié: (2024)

Can Large Language Models Replace Human Subjects? A Large-Scale Replication of Scenario-Based Experiments in Psychology and Management
par: Cui, Ziyan, et autres
Publié: (2024)

A Unified Framework to Classify Business Activities into International Standard Industrial Classification through Large Language Models for Circular Economy
par: Li, Xiang, et autres
Publié: (2024)

Leveraging AI and NLP for Bank Marketing: A Systematic Review and Gap Analysis
par: Gerling, Christopher, et autres
Publié: (2024)

Using Artificial Intelligence to Unlock Crowdfunding Success for Small Businesses
par: Ye, Teng, et autres
Publié: (2024)

From Transcripts to Insights: Uncovering Corporate Risks Using Generative AI
par: Kim, Alex, et autres
Publié: (2023)

AI evaluation may bias perceptions: The importance of context in interpreting academic writing
par: Wu, Shang, et autres
Publié: (2026)

Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing
par: Lin, Cong William, et autres
Publié: (2025)

Anchors in the Machine: Behavioral and Attributional Evidence of Anchoring Bias in LLMs
par: Valencia-Clavijo, Felipe
Publié: (2025)

LLMs Model Non-WEIRD Populations: Experiments with Synthetic Cultural Agents
par: Gonzalez-Bonorino, Augusto, et autres
Publié: (2025)

AI Patents in the United States and China: Measurement, Organization, and Knowledge Flows
par: Fang, Hanming, et autres
Publié: (2026)

From Text to Insight: Leveraging Large Language Models for Performance Evaluation in Management
par: Li, Ning, et autres
Publié: (2024)

Utility-inspired Reward Transformations Improve Reinforcement Learning Training of Language Models
par: Maura-Rivero, Roberto-Rafael, et autres
Publié: (2025)

AI Realtor: Towards Grounded Persuasive Language Generation for Automated Copywriting
par: Wu, Jibang, et autres
Publié: (2025)

Transforming the Voice of the Customer: Large Language Models for Identifying Customer Needs
par: Timoshenko, Artem, et autres
Publié: (2025)

Double Jeopardy and Climate Impact in the Use of Large Language Models: Socio-economic Disparities and Reduced Utility for Non-English Speakers
par: Solatorio, Aivin V., et autres
Publié: (2024)

AI Safety Should Prioritize the Future of Work
par: Hazra, Sanchaita, et autres
Publié: (2025)

A Multi-Task Evaluation of LLMs' Processing of Academic Text Input
par: Li, Tianyi, et autres
Publié: (2025)

Intelligent Automation for FDI Facilitation: Optimizing Tariff Exemption Processes with OCR And Large Language Models
par: Ramli, Muhammad Sukri Bin
Publié: (2025)

Standard Occupation Classifier -- A Natural Language Processing Approach
par: Rony, Sidharth, et autres
Publié: (2025)

The AI Productivity Index (APEX)
par: Vidgen, Bertie, et autres
Publié: (2025)

The Impact of Artificial Intelligence on Enterprise Decision-Making Process
par: Górka, Ernest, et autres
Publié: (2025)

A Mathematical Framework for AI-Human Integration in Work
par: Celis, L. Elisa, et autres
Publié: (2025)

Exploring Nature: Datasets and Models for Analyzing Nature-Related Disclosures
par: Schimanski, Tobias, et autres
Publié: (2023)

Web3 x AI Agents: Landscape, Integrations, and Foundational Challenges
par: Shen, Yiming, et autres
Publié: (2025)

A Financial Brain Scan of the LLM
par: Chen, Hui, et autres
Publié: (2025)

Weather-Aware AI Systems versus Route-Optimization AI: A Comprehensive Analysis of AI Applications in Transportation Productivity
par: Kikuchi, Tatsuru
Publié: (2025)

Paired Completion: Flexible Quantification of Issue-framing at Scale with LLMs
par: Angus, Simon D, et autres
Publié: (2024)

Risk Alignment in Agentic AI Systems
par: Clatterbuck, Hayley, et autres
Publié: (2024)

Governing Technical Debt in Agentic AI Systems
par: Hydari, Muhammad Zia, et autres
Publié: (2026)

Contrastive Entity Coreference and Disambiguation for Historical Texts
par: Arora, Abhishek, et autres
Publié: (2024)

Large Language Models at Work in China's Labor Market
par: Chen, Qin, et autres
Publié: (2023)

Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents
par: Wu, Zengqing, et autres
Publié: (2024)

Can Machines Think Like Humans? A Behavioral Evaluation of LLM Agents in Dictator Games
par: Ma, Ji
Publié: (2024)

Instructing LLMs to Negotiate using Reinforcement Learning with Verifiable Rewards
par: Liu, Shuze Daniel, et autres
Publié: (2026)

The (Short-Term) Effects of Large Language Models on Unemployment and Earnings
par: Chen, Danqing, et autres
Publié: (2025)

The Impact of Generative Artificial Intelligence on Market Equilibrium: Evidence from a Natural Experiment
par: Zhang, Kaichen, et autres
Publié: (2023)

Achieving Semantic Consistency: Contextualized Word Representations for Political Text Analysis
par: Zhang, Ruiyu, et autres
Publié: (2024)

Large Language Models as 'Hidden Persuaders': Fake Product Reviews are Indistinguishable to Humans and Machines
par: Meng, Weiyao, et autres
Publié: (2025)

Seeing Through Green: Text-Based Classification and the Firm's Returns from Green Patents
par: Santarlasci, Lapo, et autres
Publié: (2025)