ScholarWorks@경상국립대학교

초록

Recently, there has been a growing trend of consumers seeking product information from video platforms such as YouTube. However, when viewing multiple review videos about the same product, viewers often encounter redundant information, resulting in wasted time. To address these issues, we use BERTopic to eliminate repetitive video content and address the problem of missing subtopics, which has been a limitation of traditional video summarization methods. Subsequently, the topic-aware video contents are summarized using the BART model. The ROUGE metric was used to evaluate the model proposed in this paper, and the experimental results showed improved results compared to previous research. © 2023 Copyright for this paper by its authors.

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