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README.md
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- 10M<n<100M
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---
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# FNSPID: A Comprehensive Financial News Dataset in Time Series
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## Description
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FNSPID is a meticulously curated dataset designed to support research and applications in the field of financial news analysis within the context of time-series forecasting. Our dataset encompasses a wide range of financial news articles, providing a rich resource for developing and testing models aimed at understanding market trends, investor sentiment, and other critical financial indicators.
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## Key Features
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- **Extensive Coverage:** The dataset contains over 10 million entries, offering broad insights into the financial news landscape.
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- **Time-Series Analysis Ready:** Organized in a time-series format, FNSPID is ideal for forecasting financial market movements and trends.
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- **Diverse Applications:** Suitable for various tasks including sentiment analysis, market prediction, and trend analysis.
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## Citation
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If you use the FNSPID dataset in your research, please cite our work as follows:
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```bibtex
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@misc{dong2024fnspid,
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title={FNSPID: A Comprehensive Financial News Dataset in Time Series},
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author={Zihan Dong and Xinyu Fan and Zhiyuan Peng},
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year={2024},
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eprint={2402.06698},
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archivePrefix={arXiv},
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primaryClass={q-fin.ST}
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}
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```
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## License
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This dataset is available under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC-4.0) license. The use of this dataset for commercial purposes is strictly prohibited without prior authorization.
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## Prohibition of Commercial Use
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Commercial use of this code or dataset without explicit permission from the original authors is strictly prohibited. For commercial use or licensing inquiries, please contact us at `puma122707@gmail.com`.
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## Task Categories
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- Time-Series Forecasting
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## Language
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- English (en)
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## Tags
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- Finance
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## Pretty Name
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FNSPID: A Comprehensive Financial News Dataset in Time Series
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## Size Categories
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- 10M<n<100M
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---
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