arXiv (All)
open access
NEPSEE: A Double-Annotated Benchmark for Nepali Sentiment Analysis
Many sentiment datasets use one annotator for each item, so the test labels show the conventions of that person. We build a Nepali benchmark from two annotators who labelled the same sentences blind. They labelled 5,614 sentences from tweets of Nepali public figures on a five-point scale. We keep on
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
- zeroshot/twitter-financial-news-sentiment#786859
- Mawqif-XT: An Arabic Benchmark Dataset for Cross-Target Stance Detection#1187515
- Deconstructing Stereotypes: Scope-Conditioned Generation for Effective Multilingual Counterspeech#1123318
- ValuesML: A new multilingual dataset for values detection in news and political manifestos.#479205
- MONOVAB : An Annotated Corpus for Bangla Multi-label Emotion Detection#1131355
Record · ID 1345013
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