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Ch. 17 - NLP and Word Embeddings
'financial industry where large amounts'
financial industry, where large amounts
'analyst reports all the way'
analyst reports, all the way
' social media, text is '
social media. Text is
Tokenizing text
' This prevents us from assigning tokens to words that are hardly ever used, mostly because of typos or because they are not actual words or because they are just very uncommon. This prevents us from over fitting to texts that contain strange words or wired spelling errors.'
(Although you are trying to say something different, the sentences read the same. Try changing one.)
over fitting -> overfitting
'Through backpropagation we can'
Through backpropagation, we can
Embeddings
over fits ( can be changed to overfits, as overfitting is a concept)
The text was updated successfully, but these errors were encountered:
Ch. 17 - NLP and Word Embeddings
'financial industry where large amounts'
financial industry, where large amounts
'analyst reports all the way'
analyst reports, all the way
' social media, text is '
social media. Text is
Tokenizing text
' This prevents us from assigning tokens to words that are hardly ever used, mostly because of typos or because they are not actual words or because they are just very uncommon. This prevents us from over fitting to texts that contain strange words or wired spelling errors.'
(Although you are trying to say something different, the sentences read the same. Try changing one.)
over fitting -> overfitting
'Through backpropagation we can'
Through backpropagation, we can
Embeddings
over fits ( can be changed to overfits, as overfitting is a concept)
The text was updated successfully, but these errors were encountered: