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abhivsep1/twitter-financial-news-sentiment

Dataset Description 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… See the full description on the dataset page: https://huggingface.co/datasets/abhivsep1/twitter-financial-news-sentiment.

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Dataset Description

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.

1.The dataset holds 11,932 documents annotated with 3 labels:

python

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.

Task: 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

Licensing Information

The Twitter Financial Dataset (sentiment) version 1.0.0 is released under the MIT License.