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:

Licensing Information

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