Interactive multimedia summaries of evaluative text

We present an interactive multimedia interface for automatically summarizing large corpora of evaluative text (e.g. online product reviews). We rely on existing techniques for extracting knowledge from the corpora but present a novel approach for conveying that knowledge to the user. Our system presents the extracted knowledge in a hierarchical visualization mode as well as in a natural language summary. We propose a method for reasoning about the extracted knowledge so that the natural language summary can include only the most important information from the corpus. Our approach is interactive in that it allows the user to explore in the original dataset through intuitive visual and textual methods. Results of a formative evaluation of our interface show general satisfaction among users with our approach.

• Type: Conference
• Year: 2006
• Where: IUI
• Authors: Giuseppe Carenini, Raymond T. Ng, Adam Pauls
• Keywords: Extracted Knowledge, Hierarchical Visualization Mode, IUI 2006, Natural Language Summary, Software Engineering