Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
multi-class-classification
Languages:
English
Size:
10K - 100K
License:
File size: 2,208 Bytes
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---
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. The dataset is split into two groups:
1. Topic classification: Totals 21,107 documents. Multi-class classification consisting of 20 labels:
```python
topics = {
0:'Analyst Update',
1:'Fed | Central Banks',
2:'Company | Product News',
3:'Treasuries | Corporate Debt',
4:'Dividend',
5:'Earnings',
6:'Energy | Oil',
7:'Financials',
8:'Currencies',
9:'General News | Opinion',
10:'Gold | Metals | Materials',
11:'IPO',
12:'Legal | Regulation',
13:'M&A | Investments',
14:'Macro',
15:'Markets',
16:'Politics',
17:'Personnel Change',
18:'Stock Commentary',
19:'Stock Movement'
}
```
2. Sentiment analysis: Totals 11,932 documents.
The data was collected using the Twitter API. The current dataset supports the multi-class classification task.
### Task 1: 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 |
### Task 2: Topic Classification
# Data Splits
There are 2 splits: train and validation. Below are the statistics:
| Dataset Split | Number of Instances in Split |
| ------------- | ------------------------------------------- |
| Train | 16,990 |
| Validation | 4,118 |
# Licensing Information
The Twitter Financial Dataset version 1.0.0 is released under the MIT License. |