Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
multi-class-classification
Languages:
English
Size:
10K - 100K
License:
annotations_creators:
- other language:
- English language_creators:
- other license:
- mit multilinguality:
- monolingual pretty_name: twitter financial news size_categories:
- 10K<n<100K source_datasets:
- original tags:
- 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 21,107 total documents for topic classification and 11,932 documents for sentiment analysis. The data was collected by using the Twitter API. The current dataset supports the multi-class classification task.
Task 1: Sentiment Analysis
Data Splits
2 splits: train, validation. Below are the statistics for Version 3.0.0 of the dataset.
| Dataset Split | Number of Instances in Split |
|---|---|
| Train | 287,113 |
| Validation | 13,368 |
| Test | 11,490 |
Task 2: Topic Classification
#Licensing Information The Twitter Financial Dataset version 1.0.0 is released under the Apache-2.0 License.