A twitter sentiment analysis project in a jupyter notebook.
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Updated
Jun 18, 2020 - Jupyter Notebook
A twitter sentiment analysis project in a jupyter notebook.
A notebook covering tweet natural language processing, from data munging to predictive model creation and evaluation. Sentiment analysis will be used to classify tweet body text as positive or negative.
Predicted the Price of the Cryptocurrency(Bitcoin) using the past time-series data, Twitter Sentiments(Polarity and Sensitivity), Currency's Fundamentals and Technical Indicators like RSI and SMA on LSTM. The Notebook contains the Exploratory data analysis(with important links) and the astounding result at the end of it
Notebook used to explore and classify 500,000 tweets about Elon Musk in an unsupervised manner.
Jupyter Notebooks and other files used in AI Training
Jupyter Notebook with code to help scrape, analyze, organize, and save tweets in CSV files
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