Applying classification algorithms to a data set derived from text data, twitter

I need the R code, interpretation of results and variables and reasoning for choosing certain parameters and such for Naive Bayes classifier, J48, logistic regression and SVM. I’m having issues with some functions, it would help me greatly to dedicate time on more important areas of my paper.
Data set: first 24 features are predictors, last one is the target variable. 0 are true news, 1 are fake news.
If it has any importance, I would prefer Caret package.

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