Hidden Aspect Detection

Hidden Aspect Detection is a key technology in the field of natural language processing, aimed at identifying implicit, unexpressed aspects or features from text. This technology uncovers potential information dimensions by analyzing contextual semantics and sentiment tendencies, providing businesses with more comprehensive data insights to optimize products and services and enhance user experience. Its core objective is to deepen and broaden text analysis, revealing hidden needs and issues in user feedback, which holds significant commercial and research application value.