Figure 1.
Framework of mutual-reinforcement label propagation.
Figure 2.
Example of mutual-reinforcement label propagation.
Figure 3.
The mutual-reinforcement label propagation algorithm.
Figure 4.
The seed word selection algorithm.
Table 1.
Scale of the extracted opinion lexicon.
Table 2.
Accuracy of English opinion lexicon acquired by different methods.
Table 3.
Accuracy of Chinese opinion lexicon acquired by different methods.
Table 4.
Accuracy of unsupervised English sentiment classification based on different methods.
Table 5.
Accuracy of unsupervised Chinese sentiment classification based on different methods.
Table 6.
Accuracy of English opinion lexicon extraction based on different seed word selection methods.
Table 7.
Accuracy of Chinese opinion lexicon extraction based on different seed word selection methods.
Figure 5.
Accuracy of English opinion lexicon extraction based on different graphs.
Figure 6.
Accuracy of Chinese opinion lexicon extraction based on different graphs.
Figure 7.
Accuracy of the label propagation algorithm based on top-k sub-graph with different values for English.
Figure 8.
Accuracy of the label propagation algorithm based on top-k sub-graph with different values for Chinese.
Figure 9.
Accuracy of the English opinion lexicon extraction with increasing number of iterations.
Figure 10.
Accuracy of the Chinese opinion lexicon extraction with increasing number of iterations.
Figure 11.
Accuracy of the English opinion lexicon extraction with increasing translation possibility.
Figure 12.
Accuracy of the Chinese opinion lexicon extraction with increasing translation possibility.