Opinion Summarization

Opinion Summarization is a crucial sub-task in the field of Natural Language Processing, aimed at extracting and integrating opinions from user reviews, Q&A texts, and other sources to generate structured and concise summaries. The goal of this task is to accurately capture users' subjective evaluations and emotional tendencies, providing multi-dimensional opinion aggregation to assist in decision-making and product optimization. Its application value lies in helping businesses quickly understand market feedback, improve user experience, and offering researchers valuable data analysis tools.