I wish you can implement naive bayes step by step do not use sk-learn module

Sentimental Analysis
Sentimental Analysis
Implementation :
1. In the given data, use all the words which represent adjectives (bag-of-words
representation) from the training corpus and do the preprocessing of text like removing
stop words , punctuations etc.
2. Compute the likelihood for all the features in a given class
Determine s* of text T such that s* = argmax si p(si | T) for si ? { neutral, positive,
negative}
p(si | T) =
?(?|??) ?(??)
?(?)
where p(si | T) is posterior probability, p(si) is...