Quality of Sentiment Analysis Tools: The Reasons of Inconsistency
Summary: Evaluation of six state-of-the-art sentiment tools on five datasets to test consistency for paraphrased texts. Proposes a data-quality heuristic for augmented data and inconsistency metrics; highlights intra- and inter-tool variability. (summarized by gpt-5-nano on Feb 09 2026)
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Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,401 | SA-Q: Observing, Evaluating, and Enhancing the Quality of the Results of Sentiment Analysis Tools | 2022 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 254 | Snorkel: Rapid Training Data Creation with Weak Supervision | 2018 | VLDB | 0.00030540555 |
| 1,851 | An Analysis of Structured Data on the Web | 2012 | VLDB | 0.00010327871 |
| 2,460 | Combining Quantitative and Logical Data Cleaning | 2016 | VLDB | 8.7617484e-05 |
| 2,937 | Truth Inference in Crowdsourcing: Is the Problem Solved? | 2017 | VLDB | 7.853108e-05 |
| 4,748 | Rafiki: Machine Learning as an Analytics Service System | 2019 | VLDB | 5.9526539e-05 |
| 5,378 | Tweets as Data: Demonstration of TweeQL and TwitInfo | 2011 | SIGMOD | 5.5406941e-05 |
| 6,579 | Efficient Sentiment Correlation for Large-scale Demographics | 2013 | SIGMOD | 5.0034092e-05 |
| 8,920 | Crowdsourcing Practice for Efficient Data Labeling: Aggregation, Incremental Relabeling, and Pricing | 2020 | SIGMOD | 4.427232e-05 |
| 8,923 | Towards Personalized Maps: Mining User Preferences from Geo-textual Data | 2016 | VLDB | 4.427232e-05 |
| 8,928 | Tripartite Graph Clustering for Dynamic Sentiment Analysis on Social Media | 2014 | SIGMOD | 4.427232e-05 |
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