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Insights from 3,6 million texts in 2 clicks

Deeper and faster insights with two clicks! Instant, robust qual-to-quant data conversion with AI-driven language technology.

Objectives: To gain insight into popular perception of some banks with regard to Trust and Customer Service. Method: conceptual polarization of online mentions, normalized wrt volume. Sample size: >3,6 million online mentions in English (Mar-Dec 2014). The picture shows insight from fully automated methods for perceptual brand mapping and tracking of some financial institutions (or whatever brand or concept, with regard to any other arbitrary concept)


Category: Gavagai Explorer