Information Types in Product Reviews
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Abstract (arXiv)
Information in text is communicated in a way that supports a goal for its reader. Product reviews, for example, contain opinions, tips, product descriptions, and many other types of information that provide both direct insights, as well as unexpected signals for downstream applications. We devise a typology of 24 communicative goals in sentences from the product review domain, and employ a zero-shot multi-label classifier that facilitates large-scale analyses of review data. In our experiments, we find that the combination of classes in the typology forecasts helpfulness and sentiment of reviews, while supplying explanations for these decisions. In addition, our typology enables analysis of review intent, effectiveness and rhetorical structure. Characterizing the types of information in reviews unlocks many opportunities for more effective consumption of this genre.
Key facts. No citing papers in the map yet (data through 13 Oct 2026). Builds on 9 of its 51 references that are in the map. First posted on arXiv 20 Feb 2025.
Builds on
9 of 51 references.
References · 9
- 2021Finetuned Language Models Are Zero-Shot Learnerscited by 3,765
- 2016Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filteringcited by 518
- 2019BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysiscited by 176
- 2017PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstractscited by 123
- 2019Pretrained Language Models for Sequential Sentence Classificationcited by 53
- 2021Learning Opinion Summarizers by Selecting Informative Reviewscited by 25
- 2021Identifying Helpful Sentences in Product Reviewscited by 9
- 2017Using Argument-based Features to Predict and Analyse Review Helpfulnesscited by 6
- 2018Predicting the Usefulness of Amazon Reviews Using Off-The-Shelf Argumentation Miningcited by 3
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