{"title":"An AI-powered solution for detecting and categorising sponsored ad segments in YouTube videos","authors":"Johnny Chan, Brice Valentin Kok-Shun","doi":"10.1016/j.simpa.2025.100759","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents an AI-powered software solution for detecting and categorising sponsored advertisement segments in YouTube videos. By combining GPT-4 for ad identification, KeyBERT for keyword extraction, and custom prompts for grouping keywords into concise categories, the software provides a scalable and efficient alternative to traditional ad detection methods. It processes both auto-generated and manual transcripts, ensuring adaptability across varied contexts. The tool enables a deeper understanding of advertising strategies and ad-content alignment while maintaining ease of use and reproducibility. This work highlights the potential of AI in transforming digital advertisement analysis.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"24 ","pages":"Article 100759"},"PeriodicalIF":1.3000,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Software Impacts","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2665963825000193","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents an AI-powered software solution for detecting and categorising sponsored advertisement segments in YouTube videos. By combining GPT-4 for ad identification, KeyBERT for keyword extraction, and custom prompts for grouping keywords into concise categories, the software provides a scalable and efficient alternative to traditional ad detection methods. It processes both auto-generated and manual transcripts, ensuring adaptability across varied contexts. The tool enables a deeper understanding of advertising strategies and ad-content alignment while maintaining ease of use and reproducibility. This work highlights the potential of AI in transforming digital advertisement analysis.