NIFTY Financial News Headlines Dataset
By Raeid Saqur, Ken Kato, Nicholas Vinden, Frank Rudzicz
Rating
1193
Battle Count: 229
Relevance
8/10
Highly relevant for developing LLM-based models for stock movement prediction and financial sentiment analysis
Implementation Complexity
6/10
Moderate complexity due to the need for LLM fine-tuning and embedding analysis
Reproducibility
4/5
Dataset and utilities are available on Hugging Face, enhancing reproducibility
About this paper
Methodology: Dataset Creation and Analysis. Problem types: Classification, Natural Language Processing, Time Series Forecasting.
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