2022
DOI: 10.48550/arxiv.2204.06964
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Latent Aspect Detection from Online Unsolicited Customer Reviews

Abstract: Within the context of review analytics, aspects are the features of products and services at which customers target their opinions and sentiments. Aspect detection helps product owners and service providers to identify shortcomings and prioritize customers' needs, and hence, maintain revenues and mitigate customer churn. Existing methods focus on detecting the surface form of an aspect by training supervised learning methods that fall short when aspects are latent in reviews. In this paper, we propose an unsup… Show more

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