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RISQuantifying Product Favorability and Extracting Notable Product Features Using Large Scale Social Media Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Some of the challenges that designers face in getting broad external input from customers during and after product launch include geographic limitations and the need for physical interaction with the design artifact(s). ...
Automated Discovery of Lead Users and Latent Product Features by Mining Large Scale Social Media Networks
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Lead users play a vital role in next generation product development, as they help designers discover relevant product feature preferences months or even years before they are desired by the general customer base. Existing ...
Automated Discovery of Product Feature Inferences Within Large-Scale Implicit Social Media Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Recently, social media has emerged as an alternative, viable source to extract large-scale, heterogeneous product features in a time and cost-efficient manner. One of the challenges of utilizing social media data to inform ...