Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
multi-class-classification
Languages:
English
Size:
10K - 100K
License:
| 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: | |
| - 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. | |