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View Code? Open in Web Editor NEWMaterials for my Deep Learning and Neural Networks course at University of Wroclaw
Materials for my Deep Learning and Neural Networks course at University of Wroclaw
[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.
In task 2 from assignment 1 it says that ws should " Build a dictionary of most frequent 20000 words." Yet in all of the 8529 sentences there are only about 18000 distinct words. Should that number be 2000?
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