Effective LSTMs for Target-Dependent Sentiment Classification
Table 2: Time cost of each model with 50dms, 100dms and 200dms Glove vectors. Each value means how many seconds cost in each training iteration.
['[EMPTY]', '50dms', '100dms', '200dms']
We compare between Glove vectors with different dimensions (50/100/200). We can find that 100-dimensional word vectors perform better than 50-dimensional word vectors, while 200-dimensional word vectors do not show significant improvements. Furthermore, TD-LSTM and LSTM have similar time cost, while TD-LSTM gets higher classification accuracy as target information is incorporated. TC-LSTM performs slightly better than TD-LSTM while at the cost of longer training time because the parameter number of TC-LSTM is larger.