Datasets:
Tasks:
Text Classification
Sub-tasks:
multi-class-classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
other
Annotations Creators:
other
Source Datasets:
original
License:
Ricky Costa
commited on
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README.md
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The Twitter Financial News dataset is an English-language dataset containing 21,107 total documents for topic classification and 11,932 documents for sentiment analysis. The data was collected by using the Twitter API. The current dataset supports the multi-class classification task.
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## Task 1: Sentiment
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## Task 2: Topic
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The Twitter Financial News dataset is an English-language dataset containing 21,107 total documents for topic classification and 11,932 documents for sentiment analysis. The data was collected by using the Twitter API. The current dataset supports the multi-class classification task.
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## Task 1: Sentiment Analysis
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### Data Splits
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2 splits: train, validation. Below are the statistics for Version 3.0.0 of the dataset.
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| Dataset Split | Number of Instances in Split |
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| ------------- | ------------------------------------------- |
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| Train | 287,113 |
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| Validation | 13,368 |
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| Test | 11,490 |
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## Task 2: Topic Classification
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