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Dec 29, 2017 at 0:38 comment added tired and bored dev @damdam092 I've added some more information on bag of words, and n-grams which tries to account of words that appear together.
Dec 29, 2017 at 0:36 history edited tired and bored dev CC BY-SA 3.0
Added some information on bag of words and n-grams.
Dec 28, 2017 at 7:11 history edited tired and bored dev CC BY-SA 3.0
added 5 characters in body
Dec 28, 2017 at 7:11 comment added tired and bored dev True. HMMs and CRFs are used in regular NLP. I was thinking about bag of words models....
Dec 27, 2017 at 14:35 comment added Jakub Bartczuk "In fact in regular (Not deep learning)NLP problems, they convert sequence problems to regular classification problems." This is an overstatement. Many NLP tasks used structured prediction algorithms like HMMs or Conditional Random Fields before RNNs became state-of-the-art
Dec 26, 2017 at 10:25 vote accept ChiPlusPlus
Dec 26, 2017 at 9:11 comment added tired and bored dev Yes. They usually do. More than what you would need for regular classification algorithm.
Dec 26, 2017 at 8:30 comment added ChiPlusPlus Does RNNs require massive amoubt of data to be trained?
Dec 26, 2017 at 8:04 history answered tired and bored dev CC BY-SA 3.0