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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Sentiment Analysis and Opinion Mining
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
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venuejournal
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

797 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
797 works in the cohort · of 4,299,418page 8 of 16

Labels cover 0 of 797 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 797 of 797 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

venueno affunlabeled
Who Is Tweeting on #PRU13?
Mohd Faizal Kasmani, Rosidayu Sabran, Noor Adzrah Ramle
2014· article· en· Asian Social Science· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Promote Product Reviews of High Quality on Ecommerce Sites
Shen Huang, Dan Shen, Wei Feng, Catherine Baudin, Yongzheng Zhang
2010· article· en· Pacific Asia journal of the Association for Information Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Leveraging Emotion Features in News Recommendations.
Nastaran Babanejad, Ameeta Agrawal, Heidar Davoudi, Aijun An, Manos Papagelis
2019· article· en· Conference on Recommender Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Deep Learning Approaches on Multimodal Sentiment Analysis
Zisheng Cai, Han Gao, Jiaye Li, Xinyi Wang
2022· article· en· 2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
5
citations
affno abstractunlabeled
Affectional Ontology and Multimedia Dataset for Sentiment Analysis
Rana Abaalkhail, Fatimah Alzamzami, Samah Aloufi, Rajwa Alharthi, Abdulmotaleb El Saddik
2018· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
5
citations
affno abstractunlabeled
Sentiment Analysis and Deep Learning
Subarna Shakya, Ke-Lin Du, Klimis Ntalianis
2023· book· en· Advances in intelligent systems and computing· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
5
citations
affunlabeled
Towards Multi-class Sentiment Analysis With Limited Labeled Data
Md Riyadh, M. Omair Shafiq
2021· article· en· 2021 IEEE International Conference on Big Data (Big Data)· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_scienceconsensus · open_science
5
citations
affno abstractunlabeled
Tolerance-Based Short Text Sentiment Classifier
Vrushang Patel, Sheela Ramanna
2021· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
5
citations
affno abstractunlabeled
Topic-Based Sentiment Analysis
Prasadith Buddhitha, Diana Inkpen
2017· book-chapter· en· Communications in computer and information science· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
4
citations

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