2022
DOI: 10.48550/arxiv.2202.06221
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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

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