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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
fundfunder
venuejournal
aboutaboutness

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 4 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.

affunlabeled
WASSA-2017 Shared Task on Emotion Intensity
Saif M. Mohammad, Felipe Bravo-Márquez
2017· preprint· en· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
30
citations
affunlabeled
Using Nuances of Emotion to Identify Personality
Saif M. Mohammad, Svetlana Kiritchenko
2021· article· en· Proceedings of the International AAAI Conference on Web and Social Media· Computer Science
distilled prediction:candidate · noneconsensus · none
26
citations
affunlabeled
Verb Oriented Sentiment Classification
Mostafa Karamibekr, Ali A. Ghorbani
2012· article· en· 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
26
citations
aboutno affno abstractunlabeled
Twitter Sentiment Analysis Based on US Presidential Election 2016
Somula Ramasubbareddy, K Dinesh Kumar, S. Aravindharamanan, K. Govinda
2019· book-chapter· en· Smart innovation, systems and technologies· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
25
citations
affunlabeled
A Survey of Sentiment Analysis and Sarcasm Detection
Abdelrahman Gamal Yacoub, Salwa O. Slim, Amal Elsayed Aboutabl
2024· article· en· International journal of electrical and computer engineering systems· Computer Science
distilled prediction:candidate · noneconsensus · none
24
citations
afffundvenueunlabeled
Discretionary dissemination on Twitter
Richard M. Crowley, Wenli Huang, Hai Lu
2024· article· en· Contemporary Accounting Research· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
24
citations
aboutno affunlabeled
Comparison of emotion lexicons
Feride S. Tabak, Vesile Evrim
2016· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
24
citations
affunlabeled
What Sentiments Can Be Found in Medical Forums
Marina Sokolova, Victoria Bobicev
2013· article· en· Recent Advances in Natural Language Processing· Computer Science
distilled prediction:candidate · noneconsensus · none
23
citations
affunlabeled
Improving Sentiment Polarity Detection Through Target Identification
Mohammad Ehsan Basiri, Moloud Abdar, Arman Kabiri, Shahla Nemati, Xujuan Zhou, Forough Allahbakhshi +1 more
2019· article· en· IEEE Transactions on Computational Social Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
23
citations

How this was built: Screen · Findings · About