Tangentiality

Detect tangentiality in clinical speech transcripts by analyzing topic drift in interview fragments and assigning a deterministic TANG or NO-TANG label for differential diagnosis workflows. The classification uses defined criteria to evaluate variable-length discourse.

Tangentiality in language-disorder speech analysis is the phenomenon where spoken discourse gradually drifts away from the initial topic. Identifying this topic drift helps researchers label transcripts for thought-disorder studies.

You can use automated labeling for variable-length interview transcripts in research datasets. The skill processes variable-length fragments and applies deterministic rules to label clinical assessments and therapy notes.

Classify spoken text fragments into TANG or NO-TANG categories by providing the text fragment to the skill. It uses a deterministic set of rules described in its context to evaluate topic drift and return the appropriate label.

The speech analysis skill does not require manual configuration to detect topic drift. It uses a deterministic set of rules loaded from its context to automatically guide the classification of topic drift in spoken fragments.