The DOI matches its Crossref record.
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
Overview
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Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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Self-check
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Citations
Cited by
Yi, J., Nasukawa, T., Bunescu, R., & Niblack, W. (2004) · Third IEEE International Conference on Data Mining · doi:10.1109/icdm.2003.1250949 · Cited by 722
A sentiment analysis model for hotel reviews based on supervised learning
Shi, H.-X., & Li, X.-J. (2011) · 2011 International Conference on Machine Learning and Cybernetics · doi:10.1109/icmlc.2011.6016866 · Cited by 105
Sentiment Classification of Chinese Traveler Reviews by Support Vector Machine Algorithm
Zheng, W., & Ye, Q. (2009) · 2009 Third International Symposium on Intelligent Information Technology Application · doi:10.1109/iita.2009.457 · Cited by 58
Metadata
- Authors
- Dave, K., Lawrence, S., & Pennock, D. M.
- Venue
- Proceedings of the twelfth international conference on World Wide Web - WWW '03
- Publisher
- ACM Press
- Published
- 2003
- OpenAlex
- W4250860020
- Cited by
- 369
- References
- 0
- FWCI
- 6.95
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Mining the peanut gallery: opinion extraction and semantic classification of product reviews. https://app.cochat.ai/papers/10.1145/775224.775226
- The paper
- Dave, K., Lawrence, S., & Pennock, D. M. (2003). Mining the peanut gallery: opinion extraction and semantic classification of product reviews. Proceedings of the twelfth international conference on World Wide Web - WWW '03. https://doi.org/10.1145/775224.775226
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
