arXiv (All)
open access
The Public Discourse Corpus (PDC): A Speaker-Attributed Dataset for Valence and Epistemic Modality with Target Speaker Participation
We introduce the \textbf{Public Discourse Corpus (PDC)}, the first dataset of public-figure interview speech jointly annotated for affective valence and epistemic modality. The corpus contains 998 videos from 100 speakers across seven professional domains, yielding 186,642 sentences (3.1 million wor
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Queer inclusion in speech datasets: An audit and taxonomy of practical tensions#1061130
- MONOVAB : An Annotated Corpus for Bangla Multi-label Emotion Detection#1131355
- From suspicion to violent action: A multi-category framework of fear speech using qualitative content analysis and machine learning#341062
- Speech-level sentiment dataset of Slovenian parliamentary debates ParlaSent-SI 1.0#375971
- Predictors of affect across social contexts: An integration of existing diary datasets.#457667
Record · ID 1034000
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive