Supplementary Material Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline 1 Lu Liu

This section provides a comprehensive overview of the CSMV dataset. The CSMV dataset comprises micro videos and their corresponding comments, which have been updated from February 2020 to October 2022. This extensive time range allows for the inclusion of a diverse set of content, capturing the evolution of sentiments over the course of more than two years. In total, the CSMV dataset comprises 8,210 micro videos, totaling approximately 68.83 hours of video duration, along with 107,267 related comments. The CSMV dataset defines two distinct types of labels, opinion and emotion, for analyzing the sentiment expressed in the comments towards the micro videos. By leveraging the combination of video and textual content in this dataset, researchers can examine the interaction between language expressions and visual cues in sentiment analysis. To deepen our understanding of the CSMV dataset, we performed an analysis of the distribution of videos and related comments using specific hashtags. As depicted in Figure 1, this distribution exhibits a rich diversity of topics in video content. This diversity has brought rich expression of sentiment in user comments, giving the CSMV dataset an advantage in comprehending the complexity of induced sentiment. Moreover, this diversity expands the application of the dataset for multimodal sentiment analysis tasks.