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 an annotated corpus of finance-related tweets. There are 21,107 total documents for topic classification and 11,932 total documents for sentiment analysis. 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.