raw length value as a feature , we follow our previous work ( Rubino et al. , 2013 ; Wagner et al. , 2014 ) and create multiple features for length using a decision tree ( J48 ) .
dcu aspectbased polarity classification for semeval task 4
Joachim Wagner Piyush Arora Santiago Cortes Utsab Barman Dasha Bogdanova Jennifer Foster Lamia Tounsi
Length of words ( L ) : Instead of using the raw length value as a feature , we follow our previous work ( Rubino et al. , 2013 ; Wagner et al. , 2014 ) and create multiple features for length using a decision tree ( J48 ) . We use length as the only feature to train a decision tree for each fold and use the nodes obtained from the tree to create boolean features .
raw length value as a feature , we follow our previous work ( Rubino et al. , 2013 ; @@CITATION ) and create multiple features for length using a decision tree ( J48 ) .