Unsupervised Opinion Summarization

Unsupervised Opinion Summarization is a technology in the field of natural language processing that aims to automatically extract and summarize subjective opinions and sentiment tendencies from large amounts of text without the need for manually annotated data. This technology identifies and aggregates key opinions through algorithms, generating concise and clear summaries to help users quickly understand the overall public opinion trend. It is widely used in areas such as public sentiment analysis, product reviews, and market research.