With Taggit's topic auto tagging, you can automatically detect and count any topic you can tag in text. By auto tagging text topics, you can lower feedback categorization costs, stack rank problems by impact, and monitor known problems and ensure resolution.
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An on-premise sentiment solution gives your data direction while maximizing end customer privacy and security. Native models for 15 languages provide the most accurate results. Available as a one-time, auto-scaled solution to match any data size. Subscribe with a flat monthly rate to get model updates that ensure you're catching the latest lingo.
A feedback deep dive extracts the big patterns and low hanging fruit from your feedback data, like surveys, messages, and reviews. This one-time bulk analysis helps you validate your roadmap and discover your blindspots, so you can plot a confident path to customer delight. Reach out now to see what actionable insights lie in your data.
Monitor the health of your own large-scale feedback, or increase the efficiency of your feedback analysis services with a custom feedback monitoring and analysis dashboard, built to your specific needs. Keep your finger on the pulse, seeing what customer concerns are trending, and track the effect of updates. Monitor the big patterns and connect them back to specific customers and reviews with your own bespoke dashboard.
Detect and quantify topics of interest in the context of your business. Optimize your support process with auto responders, FAQ suggesters, and precise monitors for known pain points.
Health-tracker startup Bisu is poised to launch its smart urine analyzer in the US in 2020 to test markers including ketosis, electrolytes, and hydration. To help Bisu create and execute a successful communications plan and bring their product to market, Thought Vector provided a text analysis dashboard of key reddit communities, uncovering significant consumer uncertainty and adversarial influencers, and informing communications strategy for addressing these challenges.