TABLE 5.
Results of the classifier for male and female users.
Topic 1 |
Topic 2 |
Topic 3 |
Topic 4 |
||||||||||
2 | 1 | 0 | 2 | 1 | 0 | 2 | 1 | 0 | 2 | 1 | 0 | ||
Accuracy | Male | 0.801 | 0.831 | 0.776 | 0.729 | 0.841 | 0.777 | 0.816 | 0.793 | 0.788 | 0.822 | 0.735 | 0.857 |
Female | 0.791 | 0.858 | 0.876 | 0.785 | 0.852 | 0.797 | 0.837 | 0.773 | 0.795 | 0.862 | 0.772 | 0.863 | |
Recall | Male | 0.798 | 0.815 | 0.807 | 0.765 | 0.735 | 0.727 | 0.809 | 0.795 | 0.817 | 0.825 | 0.711 | 0.842 |
Female | 0.767 | 0.847 | 0.838 | 0.732 | 0.835 | 0.729 | 0.851 | 0.761 | 0.801 | 0.854 | 0.731 | 0.817 |
2 means positive emotion, 1 means neutral emotion, and 0 means negative emotion.