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Feedback collection

CASE STUDY

A collaborative approach to add bottom-up feedback collection to top-down traditional market research

Ingedata worked closely with their Client to collect more accurate feedback from automotive markets.

Online forum discussions were analyzed and tagged to train a Natural Language Processing model at automatically categorizing conversations..

Outcomes

The use of an industry-specific ontology of classes allowed to push market feedback directly to the person-in-charge. For example, sentiments and feedback on the aircon are now directly communicated to the Engineering team for aircon design.