sentiment classification

Why Do We Use Naive Bayes For Text Classification?

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Why Do We Use Naive Bayes For Text Classification? Naive Bayesian algorithm is a simple classification algorithm which uses probability of the events for its purpose. It is based on the Bayes Theorem which assumes that there is no interdependence amongst the variables. … Calculating these probabilities will help us calculate probabilities of the words

Which Algorithm Is Used For Text Classification?

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Which Algorithm Is Used For Text Classification? Linear Support Vector Machine is widely regarded as one of the best text classification algorithms. We achieve a higher accuracy score of 79% which is 5% improvement over Naive Bayes. Why SVM is more suitable for text classification? Because rather than taking a probabilistic approach SVM works on