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--- |
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task_categories: |
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- text-classification |
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language: |
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- ko |
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tags: |
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- finance |
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size_categories: |
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- 1K<n<10K |
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pretty_name: FinascSent-CLS-ko |
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--- |
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# FinascSent-CLS-ko |
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<!-- Provide a quick summary of the dataset. --> |
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Sentiment classification of text in financial reports (POSITIVE / NEUTRAL / NEGATIVE). |
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## Dataset Details |
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### Dataset Description |
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<!-- Provide a longer summary of what this dataset is. --> |
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- A task that classifies the sentiment of SRC (POSITIVE / NEUTRAL / NEGATIVE) based on KLUE-TC and Naver Finance analysis reports, considering different aspects. |
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## Dataset Creation |
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### Source Data |
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- [amphora/korfin-asc](https://huggingface.co/datasets/amphora/korfin-asc) (Original Source : KLUE-TC and analyst reports from Naver Finance) |
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> |
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<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> |
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