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@@ -4,6 +4,7 @@ CryptoBERT is a pre-trained NLP model to analyze language and sentiments of cryp
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  ## Training Corpus
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  CryptoBERT was trained on 3.2M social media posts about various cryptocurrencies. Only non-duplicate posts of length above 4 words were considered. The following communities were used as sources for our corpora:
 
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  (1) StockTwits - 1.875M posts about top 100 cryptos by trading volume. Posts were collected from 1st of November 2021 to 16th June 2022.
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  (2) Telegram - 664K posts from top 5 telegram groups: [Binance](https://t.me/binanceexchange), [Bittrex](https://t.me/BittrexGlobalEnglish), [huobi global](https://t.me/huobiglobalofficial), [Kucoin](https://t.me/Kucoin_Exchange), [OKEx](https://t.me/OKExOfficial_English).
 
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  ## Training Corpus
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  CryptoBERT was trained on 3.2M social media posts about various cryptocurrencies. Only non-duplicate posts of length above 4 words were considered. The following communities were used as sources for our corpora:
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  (1) StockTwits - 1.875M posts about top 100 cryptos by trading volume. Posts were collected from 1st of November 2021 to 16th June 2022.
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  (2) Telegram - 664K posts from top 5 telegram groups: [Binance](https://t.me/binanceexchange), [Bittrex](https://t.me/BittrexGlobalEnglish), [huobi global](https://t.me/huobiglobalofficial), [Kucoin](https://t.me/Kucoin_Exchange), [OKEx](https://t.me/OKExOfficial_English).