"Guides text classification, topic classification, sentiment,
Scanned 9/8/2026
Install to Claude Code
npx -y skills add VectorSpaceLab/AREX-Skill --skill classification-sentiment --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: classification-sentiment
description: "Guides text classification, topic classification, sentiment,
emotion, aspect sentiment, and entity-sentiment dataset discovery in
CLUEDatasetSearch."
disable-model-invocation: true
metadata:
disco-role: operating
license: NO_LICENSE
---
# Classification and Sentiment Dataset Route
Use this sub-skill when the user intent matches one of these signals:
- text classification, topic labels, short or long Chinese text
- sentiment, emotion, polarity, aspect-level or entity sentiment
- THUCNews, IFLYTEK, ChnSentiCorp, NLPCC emotion, weibo_senti_100k
Read references/dataset-selection.md for classification/sentiment choices and references/troubleshooting.md for label and corpus ambiguity.
## Fast workflow
1. Restate the user's requested task, language, domain, and output need.
2. Search the bundled root index before recommending a row:
```bash
python ../../scripts/search_dataset_index.py --category text-classification --query IFLYTEK
python ../../scripts/search_dataset_index.py --category sentiment-analysis --query aspect
python ../../scripts/search_dataset_index.py --query weibo_senti_100k
```
3. Compare title, category, description, keywords, provider, license, paper, and note fields.
4. Warn that CLUEDatasetSearch is a catalogue: no dataset files are bundled and external access must be verified.
5. If the request belongs to another family, route to the sibling sub-skill named below instead of forcing a weak match.
## Boundary routes
- Root overview and cross-category search: [../../SKILL.md](../../SKILL.md).
- Shared table schema and duplicate handling: [../../references/catalogue-overview.md](../../references/catalogue-overview.md).
- Access, license, privacy, and link caveats: [../../references/access-and-license-caveats.md](../../references/access-and-license-caveats.md).
- Full bundled index: [../../references/dataset-index.json](../../references/dataset-index.json).
- Cross-cutting troubleshooting: [../../references/troubleshooting.md](../../references/troubleshooting.md).
## Output pattern
When answering, include:
- candidate dataset title and category;
- why it fits the task;
- language/domain/scale hints from the catalogue;
- provider and source URL when present in the bundled index;
- license/access caveat, especially if blank or competition-hosted;
- what the user must verify upstream before download, redistribution, or benchmark use.
Do not tell future agents to open or run files from the original repository checkout.
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