Yelp CBA: Computational Branding Analytics
Yelp coffee-shop reviews for computational branding analytics (Wang, Lin & Kominek, EMNLP 2013): 17,894 reviews in train (10,495), dev (3,617) and test (3,782) splits. Each row holds the brand (Starbucks, Dunkin', other), satisfaction (negative, positive, neutral), the reviewer's gender (missing as '?' in some rows), US region, and the review text. There are no review, business or date fields. Research use only, per the README.
Cite this dataset at
yelp-cba.echo.directory
Analytics
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Computed over the full corpus.
Record
- Catalog key
yelp-cba- Authors
- Wang, William Yang; Lin, Edward; Kominek, John
- Year
- 2013
- Source paper
- This Text Has the Scent of Starbucks: A Laplacian Structured Sparsity Model for Computational Branding Analytics
- DOI / arXiv
- 10.18653/v1/d13-1131
- License
- Academic use (see UCSB) (LicenseRef-Research-Only)
- Records
- 17,894
- Text corpus
- review text
- Languages
- en
- Collected
- 2013 (2010s)
- Region
- United States · North America (inferred: the platform is used mostly there)
Provenance
- Originally published at
- https://sites.cs.ucsb.edu/~william/software.html link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-09, 9.8 MB across 4 files. Checksums in MANIFEST.json.
Citations
This Text Has the Scent of Starbucks: A Laplacian Structured Sparsity Model for Computational Branding Analytics
William Yang Wang, Edward C. Lin, J. Kominek
Journal Article · Conference on Empirical Methods in Natural Language Processing · 2013
Cited by
- Using Personal Traits For Brand Preference Prediction
Chao Yang, Shi-Mei Pan et al. · Conference on Empirical Methods in Natural Language Processing · 2015 · cited 31× - Improving Gender Prediction of Social Media Users via Weighted Annotator Rationales
Svitlana Volkova, D. Yarowsky · 2014 · cited 18× - Inferring User Consumption Preferences from Social Media
Y. Li, Jing Jiang et al. · IEICE Trans. Inf. Syst. · 2017 · cited 5× - Causal Feature Selection for Individual Characteristics Prediction
Tao Ding, Cheng Zhang et al. · IEEE International Conference on Tools with Artificial Intelligence · 2017 · cited 4×
Citation data from Semantic Scholar, retrieved 2026-10-19.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@inproceedings{wang2013starbucks,
title = {This Text Has the Scent of Starbucks: A Laplacian Structured Sparsity Model for Computational Branding Analytics},
author = {Wang, William Yang and Lin, Edward and Kominek, John},
booktitle = {EMNLP},
year = {2013}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Wang, W. Y., Lin, E., & Kominek, J. (2013). Yelp CBA: Computational Branding Analytics [Data set]. https://doi.org/10.18653/v1/d13-1131
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Wang, William Yang, et al. Yelp CBA: Computational Branding Analytics. 2013, doi.org/10.18653/v1/d13-1131.