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@@ -193,6 +193,6 @@ The Fine-Tuned FinBERT model was trained on a carefully curated dataset consisti
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  - The dataset was designed to be contextually rich, exposing the model to a spectrum of sentiment expressions within the Indian stock market landscape. This diversity ensures the model's adaptability to varied scenarios.
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  **Dataset Card:**
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- For more detailed information on the dataset, including statistics, features, and documentation related to data pre-processing, please refer to the associated [Dataset Card](link-to-dataset-card).
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  This meticulous curation and diverse data incorporation contribute to the model's proficiency in capturing nuanced sentiment expressions relevant to the Indian stock market.
 
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  - The dataset was designed to be contextually rich, exposing the model to a spectrum of sentiment expressions within the Indian stock market landscape. This diversity ensures the model's adaptability to varied scenarios.
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  **Dataset Card:**
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+ For more detailed information on the dataset, including statistics, features, and documentation related to data pre-processing, please refer to the associated [Dataset Card](https://huggingface.co/datasets/kdave/Indian_Financial_News).
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  This meticulous curation and diverse data incorporation contribute to the model's proficiency in capturing nuanced sentiment expressions relevant to the Indian stock market.