Dataset · Hugging Face

zeroshot/twitter-financial-news-sentiment

Name: twitter-financial-news-sentiment
Creator: zeroshot
License: mit
Keywords: task_categories:text-classification, task_ids:multi-class-classification, annotations_creators:other, language_creators:other, multilinguality:monolingual, source_datasets:original, language:en, license:mit, size_categories:10K<n<100K, format:csv, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars

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/zeroshot/twitter-financial-news-sentiment.

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Author / organization	zeroshot
License (as declared)	mit
Downloads	7.4K (as reported by Hugging Face)
Likes	187
Created	1 September 2022
Last updated at source	23 February 2024

twitterfinancemarketsstockswallstreetquanthedgefunds

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17 Oct 2026 Description: 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 1 → 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 1

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zeroshot/twitter-financial-news-topicDataset

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