User 1102 | 4/15/2015, 12:24:04 PM
I am using LIBSVM (Java Library) for Binary Classification Problem (0/1) of Medical Entity Relationship Detection ( Like Chest pain and mild pain) and i am using features as bag of words with word's POS , Chunk and others .
My training file looks like : [Class Label] [word1ID : Count ] [word2ID : Count] [word1POSID1] [word2POSID2] .... and so on.
Class Label : 1 means Relationship Exist 0 means Relationship not Exist
Is it possibile to use Graphlab Support Vector Machine toolkit for this binary classification problem ? If yes then how can i use it with these set of features ?