Update existing Python program to use different classifiers

An existing Python program (sourced from https://github.com/wendykan/DeepLearningMovies) uses a Random Forest classifier to classify the sentiment of tweets.

I would like to try different classifiers - 1) An SVM classifier and 2) a Naive Bayes classifier in same code.

I have tried updating code according to scikit-learn parameters from:
https://scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html

The SVM and Naive Bayes code are receiving "ValueError: Input contains NaN, infinity or a value too large for dtype('float64')" errors. Should be a quick fix.

Please provide details about all additional code, and settings per each classifier. Initial (Random Forest) code attached plus appropriate datasets.