Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Fig 1.

The framework for the ATT-LSTM for the text emotion recognition.

More »

Fig 1 Expand

Fig 2.

The ATLSTM-PS push sorting framework based on the emotion feature fusion.

More »

Fig 2 Expand

Table 1.

The model hyperparameters setting.

More »

Table 1 Expand

Table 2.

The experiment environment Information.

More »

Table 2 Expand

Fig 3.

The comparison result for the emotion recognition on ml-20m dataset.

More »

Fig 3 Expand

Fig 4.

The comparison result for the emotion recognition on ml-latest dataset.

More »

Fig 4 Expand

Fig 5.

The success rate of push on ml-20m dataset.

More »

Fig 5 Expand

Fig 6.

The success rate of push on ml-latest dataset.

More »

Fig 6 Expand

Table 3.

The significance analysis among different methods.

More »

Table 3 Expand

Fig 7.

The Ablation experiment for the push success on the established dataset.

More »

Fig 7 Expand