TEXT SIMILARITY¶
Computes a similarity score between two text strings, quantifying how closely a candidate text matches a reference base text. Use this worker when you need to compare labels, descriptions, or any free-text fields for fuzzy or exact likeness within a workflow.
When to use¶
Classification: process.
Tagged: fuzzy_match, nlp, string_comparison, text_processing, text_similarity.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Base Text | base_text | text | — | The reference text string against which the comparison is made; provide the canonical or ground-truth phrase/sentence to use as the similarity baseline. | |
| Compare Text | compare_text | text | — | The candidate text string to compare against the base text; each repeating instance is evaluated independently on the same line, producing one similarity result per pair. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| text_similarity_output_1 | text_similarity_output_1 | text | Numeric similarity score (typically 0.0–1.0, where 1.0 indicates identical texts) or a structured representation of the comparison result between the base and compare text inputs. |
Disciplines¶
- ai_ml.llm
- data.statistics
Auto-generated from transformation schema. Worker id: text_similarity. Schema hash: 81af74913294. Hand-curated docs in workerexamples/ override this page when present.