The authors of RAM <cite>(Chen et al., 2017)</cite> claimed that their model is language insensitive, which mean it can perform on all languages and, compared to TD-LSTM (Tang et al., 2016) which might lose feature if the opinion word is far from the target, they employed the recurrent attention to solving this problem. But by comparing results, it's obvious that TD-LSTM (Tang et al., 2016) outperforms their method in Persian.