multinomial Naive Bayes classifier python

Question

I’m using multinomial Naive Bayes classifier for text classification consist of (5 classes and 1764 sentences of training data)
As is the code in the link(https://chatbotslife.com/text-classification-using-algorithms-e4d50dcba45) When classifying some data in the classifier,, it changes every run and returns different label every time,, How to fix the label with the same results Thank you …

Answer 1

There shouldn't be a change in your classification. As there are no random initialisations. The similarity between sentences should always be the same. Could you also share your code, so I can have a look.