Mining Subjective Properties on the Web
Summary: Surveyor extracts subjective opinions about entities from Web text via a probabilistic model of Web-authorship biases. Processes a Web snapshot to yield over 4B entity-property opinions; achieves 77% AMT agreement (87% when workers agree) and outperforms baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Immanuel Trummer (EPFL)
- 2. Alon Halevy (Google)
- 3. Hongrae Lee (Google)
- 4. Sunita Sarawagi (Google; Indian Institute of Technology Mumbai)
- 5. Rahul Gupta (Google)
BibTeX Citation
@inproceedings{trummer_sigmod15,
title = {{Mining Subjective Properties on the Web}},
author = {Trummer, Immanuel and Halevy, Alon and Lee, Hongrae and Sarawagi, Sunita and Gupta, Rahul},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2750548},
url = {https://dl.acm.org/doi/10.1145/2723372.2750548},
year = {2015}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,548 | Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond | 2020 | VLDB | 6.1790655e-05 |
| 7,393 | Maverick: Discovering Exceptional Facts from Knowledge Graphs | 2018 | SIGMOD | 5.6261241e-05 |
| 7,697 | Subjective Databases | 2019 | VLDB | 5.5659533e-05 |
| 7,729 | Subjective Knowledge Base Construction Powered By Crowdsourcing and Knowledge Base | 2018 | SIGMOD | 5.5574654e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,374 | Ranking Objects by Exploiting Relationships: Computing Top-K over Aggregation | 2006 | SIGMOD | 5.8945632e-05 |
| 7,251 | Efficient Sentiment Correlation for Large-scale Demographics | 2013 | SIGMOD | 5.6630343e-05 |
| 7,252 | Query Portals: Dynamically Generating Portals for Entity-Oriented Web Queries | 2010 | SIGMOD | 5.6630343e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,789 | Crowd Mining | 2013 | SIGMOD |
| 2 | 5,548 | Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond | 2020 | VLDB |
| 3 | 7,697 | Subjective Databases | 2019 | VLDB |
| 4 | 9,078 | Towards Personalized Maps: Mining User Preferences from Geo-textual Data | 2016 | VLDB |
| 5 | 4,494 | Structured Annotations of Web Queries | 2010 | SIGMOD |
| 6 | 11,672 | Exploring Ratings in Subjective Databases | 2021 | SIGMOD |
| 7 | 6,883 | Facet Discovery for Structured Web Search: A Query-log Mining Approach | 2011 | SIGMOD |
| 8 | 7,903 | Mining a Search Engine’s Corpus: Efficient Yet Unbiased Sampling and Aggregate Estimation | 2011 | SIGMOD |
| 9 | 2,683 | Mining Search Engine Query Logs via Suggestion Sampling | 2008 | VLDB |
| 10 | 7,729 | Subjective Knowledge Base Construction Powered By Crowdsourcing and Knowledge Base | 2018 | SIGMOD |