If it turns out that the word belongs to a positive sentiment class, then its topic distribution is drawn from a biased Dirichlet prior φ (1) We set ω w = 1 if the word w is a positive seed word, otherwise, we set ω w = 0.
then, we remove non-alphabet characters, numbers, pronoun, punctuation and stop words from the text.