zeroshot/twitter-financial-news-sentiment

---
annotations_creators:
- other
language:
- en
language_creators:
- other
license:
- mit
multilinguality:
- monolingual
pretty_name: twitter financial news
size_categories:
- 10K<n<100K
source_datasets:
- original
tags:
- twitter
- finance
- markets
- stocks
- wallstreet
- quant
- hedgefunds
- markets
task_categories:
- text-classification
task_ids:
- multi-class-classification
---

### Dataset Description

The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their sentiment.

1. The dataset holds 11,932 documents annotated with 3 labels:

```python
sentiments = {
"LABEL_0": "Bearish",
"LABEL_1": "Bullish",
"LABEL_2": "Neutral"
}
```

The data was collected using the Twitter API. The current dataset supports the multi-class classification task.

### Task: Sentiment Analysis

# Data Splits
There are 2 splits: train and validation. Below are the statistics:

| Dataset Split | Number of Instances in Split |
| ------------- | ------------------------------------------- |
| Train | 9,938 |
| Validation | 2,486 |

# Licensing Information
The Twitter Financial Dataset (sentiment) version 1.0.0 is released under the MIT License.

原始信息汇总

数据集概述

基本信息

• 名称: Twitter Financial News
• 语言: 英语
• 许可证: MIT
• 多语言性: 单语种
• 大小: 10K<n<100K
• 来源: 原始数据
• 标签:
  • twitter
  • finance
  • markets
  • stocks
  • wallstreet
  • quant
  • hedgefunds
  • markets
• 任务类别: 文本分类
• 任务ID: 多类分类

数据集描述

• 内容: 包含一个英语标注的金融相关推文语料库。
• 用途: 用于对金融相关推文进行情感分类。
• 文档数量: 11,932个文档
• 情感标签:
  • "LABEL_0": "Bearish"
  • "LABEL_1": "Bullish"
  • "LABEL_2": "Neutral"

任务描述

• 任务: 情感分析
• 数据分割:
  • 训练集: 9,938个实例
  • 验证集: 2,486个实例

许可证信息

• 许可证: MIT License
• 版本: 1.0.0