HOTVCOM: Generating Buzzworthy Comments for Videos
<|reference_start|>HOTVCOM: Generating Buzzworthy Comments for Videos: In the era of social media video platforms, popular ``hot-comments'' play a crucial role in attracting user impressions of short-form videos, making them vital for marketing and branding purpose. However, existing research predominantly focuses on generating descriptive comments or ``danmaku'' in English, offering immediate reactions to specific video moments. Addressing this gap, our study introduces \textsc{HotVCom}, the largest Chinese video hot-comment dataset, comprising 94k diverse videos and 137 million comments. We also present the \texttt{ComHeat} framework, which synergistically integrates visual, auditory, and textual data to generate influential hot-comments on the Chinese video dataset. Empirical evaluations highlight the effectiveness of our framework, demonstrating its excellence on both the newly constructed and existing datasets.<|reference_end|>
@article{chen2024hotvcom:,
    title={HOTVCOM: Generating Buzzworthy Comments for Videos},
    author={Yuyan Chen, Yiwen Qian, Songzhou Yan, Jiyuan Jia, Zhixu Li, Yanghua
  Xiao, Xiaobo Li, Ming Yang, Qingpei Guo},
    journal={arXiv preprint arXiv:2409.15196},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.15196},
    primaryClass={cs.CV cs.AI}
}