HOTVCOM: Generating Buzzworthy Comments for Videos
This addresses the need for marketing and branding on Chinese social media platforms by generating influential comments, though it is incremental as it builds on existing comment generation research.
The study tackled the problem of generating buzzworthy comments for Chinese short-form videos by introducing HotVCom, a dataset of 94k videos and 137 million comments, and the ComHeat framework that integrates visual, auditory, and textual data, achieving excellent results on both new and existing datasets.
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.