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  license: mit
 
 
 
 
 
 
 
 
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  license: mit
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+ task_categories:
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+ - text-classification
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+ tags:
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+ - tweet
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+ - tweets
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+ - finance
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+ - crypto
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+ - fintwit
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  ---
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+
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+ # Financial Tweets - Cryptocurrency
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+ This dataset is part of the scraped financial tweets that I collected from a variety of financial influencers on Twitter, all the datasets can be found here:
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+ - Crypto: https://huggingface.co/datasets/StephanAkkerman/financial-tweets-crypto
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+ - Stocks (and forex): https://huggingface.co/datasets/StephanAkkerman/financial-tweets-stocks
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+ - Other (Tweet without cash tags): https://huggingface.co/datasets/StephanAkkerman/financial-tweets-other
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+
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+ ## Data Fields
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+
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+ The data fields are as follows:
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+
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+ * `timestap`: The time the tweet was sent.
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+ * `tweet_text`: All of the text of the tweet, including quoted tweets (prefixed with `>`).
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+ * `tweet_url`: The URL of the tweet.
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+ * `tweet_type`: The type of tweet, this can be tweet, retweet, or quote tweet.
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+ * `price_of_ticker`: The price of the tickers mentioned.
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+ * `change_of_ticker`: The 24h price change of the tickers.
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+ * `tickers_mentioned`: All the tickers that are mentioned in the tweet.
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+ * `category`: What type of category the tweet has, the suffix `_images` means that the tweet included an image.
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+