README.md

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. This dataset is used to classify finance-related tweets for their sentiment.

1. The dataset holds 11,932 documents annotated with 3 labels:

sentiments = {
    "LABEL_0": "Bearish", 
    "LABEL_1": "Bullish", 
    "LABEL_2": "Neutral"
}  

The data was collected using the Twitter API. The current dataset supports the multi-class classification task.

Task: 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

Licensing Information

The Twitter Financial Dataset (sentiment) version 1.0.0 is released under the MIT License.