Validating topical relevancy of data in unstructured text, relative to questions posed

Validating topical relevancy of data in unstructured text, relative to questions posed

Techniques disclose validating user-provided text feedback for topical relevance relative to a question asked. A form with at least a first field is received. The first field includes unstructured text content provided as feedback in response to a question. The unstructured text content of the first...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Huebert, Jeffrey K, Clark, Adam T, Payton, Aspen L, Petri, John E
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:Techniques disclose validating user-provided text feedback for topical relevance relative to a question asked. A form with at least a first field is received. The first field includes unstructured text content provided as feedback in response to a question. The unstructured text content of the first field is evaluated to identify an answer type. A measure of relevance of the unstructured text content relative to the question is determined based on the evaluation.