Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
multi-class-classification
Languages:
English
Size:
10K - 100K
License:
File size: 1,610 Bytes
93d1229 adf47f6 93d1229 adf47f6 93d1229 7b90601 fd393d3 59adcaf 7b90601 fd393d3 f99c2c5 fd393d3 f99c2c5 3a704bf 2acf1b9 f99c2c5 66d0583 7b90601 f99c2c5 7b90601 ba70404 7b90601 ba70404 66d0583 7b90601 be2abc0 ba70404 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 |
---
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. |