Bulk zero-shot text classification tool for non-technical qualitative researchers
Researchers with thousands of open-ended survey or interview entries need to tag them by theme, but today's options require either manual coding or writing ML/LLM scripts. A no-code web app that takes a CSV of free-text entries, accepts plain-language theme descriptions, and returns labeled/confidence-scored rows in seconds at negligible per-entry cost would fill that gap.
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The space is crowded at the generic classifier and infrastructure layers, so a plain zero-shot text classification tool would enter a well-served market with weak differentiation. Demand is moderate and the search language points to a narrower workflow gap, making entry more defensible as a focused coding tool for non-technical qualitative researchers than as another classifier API wrapper.
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