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[1p] Prepare the data for logistic regression: Map the sentiment scores $0,1,2,3,4$ to a probability of the sentence being by setting$p(\textrm{positive}) = \textrm{sentiment}/4$. Build a dictionary of at most 20000 most frequent words.
Should the bolded fragment be "sentence being positive"? It that probability a purpose of our logistic regression prediction(i.e. do we reduce orginally stated problem with scale 0-4 to just positive/negative classification)?
Morover, it seems that there is less than 20000 words in that sentences.
The text was updated successfully, but these errors were encountered:
Yes about the typo, please submit a PR.
WRT the number of words, that's great then, you can add an "if needed phrase", it is good practice to know the vocab size.
Should the bolded fragment be "sentence being positive"? It that probability a purpose of our logistic regression prediction(i.e. do we reduce orginally stated problem with scale 0-4 to just positive/negative classification)?
Morover, it seems that there is less than 20000 words in that sentences.
The text was updated successfully, but these errors were encountered: