Cryptocurrency sentiment analysis github

cryptocurrency sentiment analysis github

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PARAGRAPHSearch for tweets and download this into flask based app polarity in CSV format.

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Cryptocurrency sentiment analysis github Confidence intervals where obtained by applying KFold cross validation, with a K value equal to 5, which was selected after executing the validation exercises multiple times with new random splits. Sentiment was measured by applying Valence Sentiment Analysis to the text of the cryptocurrency related tweets. Forecasting stock market movement direction with support vector machine. Cao L. Search for tweets and download the data labeled with its polarity in CSV format. At the forefront of these tools is Prometeo. This tool sifts through the torrent of emotions that drive the cryptocurrency market, providing real-time sentiments of the top assets, which is a valuable resource for hedge funds and financial institutions.
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Folders and files Name Name Last commit message. You signed in with another tab or window. The project is structured in a jupyter notebook, that it is possible to be found inside this repository. Reload to refresh your session. All 3 Jupyter Notebook 2 Python 1.