metadata

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 21,107 total documents for topic classification and 11,932 total 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

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

Dataset Split	Number of Instances in Split
Train	287,113
Validation	13,368

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	287,113
Validation	13,368

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