Supporting Serendipitous Discovery and Balanced Analysis of Online Product Reviews with Interaction-Driven Metrics and Bias-Mitigating Suggestions
Mahmood Jasim,
Christopher Collins,
Ali Sarvghad
et al.
Abstract:Explicitly read by the reader Unread and unknown to the reader Associated with positive sentiment Associated with negative sentiment Associated with neutral sentiment Suggestions help to discover unexplored reviews An incomprehensively explored short free-form product reviews Reader Serendyze supports comprehensive exploration of texts Exploration metrics help with tracking text exploration patterns Keywords Sentiment Reviews Suggested Reviews Visit Serendyze -A text analytics system to support serendipitous d… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.