surface↓classification↓engagement
Classificationdimension · returns varchar

ENGAGEMENT

Predict engagement type/level via zero-shot NLI

Per-row classifier — stable across GROUP BY.

classificationnlispecialist-zootext

Arguments

nametypedescription
textVARCHAR—
platformVARCHAR—

About

Engagement potential classifier — buckets text by likely social media engagement level. Useful for content strategy analysis. Backend: specialist zoo zero-shot NLI via /classify_batch. Fixed 5-level engagement scale. Optional `platform` arg steers the hypothesis template for platform-specific context. For LLM-style assessment with platform-specific heuristics, use ENGAGEMENT_LLM — see engagement_dimension_llm.cascade.yaml.

Examples

Engagement level assessed

SELECT
  engagement ('Must read! Share with everyone!')

Nearby rabbit holes

same domain
dimension

AUDIENCE

Identify target audience via zero-shot NLI

classificationnlispecialist-zootext+1
dimension

AUDIENCE_LLM

LLM-backed audience identification (escape hatch for AUDIENCE)

classificationllmllm-escape-hatchtext
dimension

AUTHENTICITY

Assess authenticity of content via zero-shot NLI

classificationnlispecialist-zootext
dimension

AUTHENTICITY_LLM

LLM-backed authenticity assessment (escape hatch for AUTHENTICITY)

classificationllmllm-escape-hatchtext
dimension

BUCKET

Classify text into user-specified buckets via zero-shot NLI

classificationnlispecialist-zootext
dimension

BUCKET_LLM

LLM-backed bucketing (escape hatch for BUCKET)

classificationllmllm-escape-hatchtext
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