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. The dataset is split into two groups:

1. Topic classification: Totals 21,107 documents. Multi-class classification consisting of 20 labels:

topics = {
    0:'Analyst Update',
    1:'Fed | Central Banks',
    2:'Company | Product News',
    3:'Treasuries | Corporate Debt',
    4:'Dividend',
    5:'Earnings',
    6:'Energy | Oil',
    7:'Financials',
    8:'Currencies',
    9:'General News | Opinion',
    10:'Gold | Metals | Materials',
    11:'IPO',
    12:'Legal | Regulation',
    13:'M&A | Investments',
    14:'Macro',
    15:'Markets',
    16:'Politics',
    17:'Personnel Change',
    18:'Stock Commentary',
    19:'Stock Movement'
}

2. Sentiment analysis: Totals 11,932 documents.

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.