Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
multi-class-classification
Languages:
English
Size:
10K - 100K
License:
Ricky Costa
commited on
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README.md
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- multi-class-classification
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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.
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# Data Splits
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There are 2 splits: train and validation. Below are the statistics:
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| Validation | 2,486 |
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# Data Splits
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There are 2 splits: train and validation. Below are the statistics:
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- multi-class-classification
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### Dataset Description
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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.
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### Task 1: Sentiment Analysis
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# Data Splits
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There are 2 splits: train and validation. Below are the statistics:
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| Validation | 2,486 |
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### Task 2: Topic Classification
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# Data Splits
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There are 2 splits: train and validation. Below are the statistics:
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