In many text classification problems lot of time is spent creating features from text. text-to-vector aims at shortening that time. We can extract lot of features from text like POS count, term frequency, first word frequency, count of spelling mistakes, count of grammatical errors, count of rare words and many more..
smadha/text-to-vector
In many text classification problems lot of time is spent creating features from text. text-to-vector aims at shortening that time. We can extract lot of features from text like POS count, term frequency, first word frequency, count of spelling mistakes, count of grammatical errors, count of rare words and many more..