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September 10, 2025Data plus.

When AI Meets Economics: A Hybrid Framework for Inflation Prediction Using NLP and LLMS

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The hybrid model improves inflation prediction accuracy by integrating structured data with unstructured sources like news and social media.
Key findings show improved forecasting compared to traditional methods, with enhanced insights into economic dynamics.
Analysis utilizes natural language processing techniques such as sentiment analysis and topic modeling to uncover hidden trends.
Insights from the model facilitate timely decision-making for policymakers navigating complex economic landscapes.

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Implication

This analysis combines NLP and LLM techniques to improve inflation forecasts using structured and unstructured data sources, indicating enhanced accuracy for economic decisions.

Cite This Study

Pandey et al. (2025) studied this question.

synapsesocial.com/papers/68c1aacc54b1d3bfb60e3450 https://doi.org/10.62887/dataplus.003.02.0062

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Implication

This analysis combines NLP and LLM techniques to improve inflation forecasts using structured and unstructured data sources, indicating enhanced accuracy for economic decisions.

When AI Meets Economics: A Hybrid Framework for Inflation Prediction Using NLP and LLMS

Key Points

Discussion

Implication

Cite This Study

When AI Meets Economics: A Hybrid Framework for Inflation Prediction Using NLP and LLMS

Key Points

Discussion

Implication

Cite This Study

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