FNSPID: A Comprehensive Financial News Dataset in Time Series Description 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. Link to Github Program Key Features Extensive Coverage: The dataset contains over 10 million entries, offering broad insights into the financial news landscape. Time Series Analysis Ready: Organized in a time series format, FNSPID is ideal for forecasting financial market movements and trends. Diverse Applications: Suitable for various tasks including sentiment analysis, market prediction, and trend analysis. Citation If you use the FNSPID dataset in your research, please cite our work as follows: License 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 authorizati…
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