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The Jupyter Notebook code/smm_twitter_analysis_harvey.ipynb contains all the code for the pre-processing, model training, evaluation and prediction. It also includes the results and visualizations.
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The .pkl files included in the code folder are required to successfully execute the Notebook.
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The code/training_set_final.csv file is the annotated training set, which was then converted to a .pkl file called "training_set.pkl"
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We use Python 3.6 to run the Notebook
nescobar / smm2018 Goto Github PK
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