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