Summary of Hotvcom: Generating Buzzworthy Comments For Videos, by Yuyan Chen et al.
HOTVCOM: Generating Buzzworthy Comments for Videos
by Yuyan Chen, Yiwen Qian, Songzhou Yan, Jiyuan Jia, Zhixu Li, Yanghua Xiao, Xiaobo Li, Ming Yang, Qingpei Guo
First submitted to arxiv on: 23 Sep 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces HotVCom, a large-scale Chinese video hot-comment dataset, comprising 94k diverse videos and 137 million comments. The study also presents ComHeat, a framework that integrates visual, auditory, and textual data to generate influential hot-comments on the Chinese video dataset. The framework is evaluated empirically, demonstrating its excellence on both newly constructed and existing datasets. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper creates a big database of comments for short videos in China. It’s like a huge book with millions of comments that can help marketers understand what people think about certain videos. The researchers also made a special tool called ComHeat that helps create good comments by combining information from the video, audio, and text. They tested this tool and it worked well on both new and old data. |
