Interactive Variance Attention based Online Spoiler Detection for Time-Sync Comments
Table 4. F1-score, Precision, and Recall with different IVA parameters
['Parameters Metrics', 'R=1 Precision', 'R=1 Recall', 'R=1 F1-score', 'R=2 Precision', 'R=2 Recall', 'R=2 F1-score', 'R=3 Precision', 'R=3 Recall', 'R=3 F1-score', 'R=4 Precision', 'R=4 Recall', 'R=4 F1-score']
Finally, we change the number of former neighbors R and keyframe P to see their influence on the experiment result in the validation set. We can find the F1-score increase with the number of former neighbors R and keyframe P. This result proves that our application of the interactive and real-time properties of TSCs is correct. When we increase former neighbors, TSCs establish semantics association with more surrounding neighbors. When we increase keyframes, TSCs can be compared with more important plots in the video.