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https://dagshub.com/syedzubeen/twitter-financial-news-sentiment
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.
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.
Sentiment Analysis
There are 2 splits: train and validation. Below are the statistics:
Train 9,938 Validation 2,486
The Twitter Financial Dataset (sentiment) version 1.0.0 is released under the MIT License.
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