Extractive Tags Summarization

Extractive Tags Summarization (ETS) is a sub-task in the field of natural language processing that aims to extract the most representative tags from digital images and their corresponding tag lists, to streamline the number of tags while maintaining the core features and meaning of the image content. This task involves automatically identifying and filtering key tags through algorithms, which helps improve image retrieval efficiency, optimize content recommendation systems, and enhance users' understanding and experience of image content.