Online customer feedback for identifying KANO product quality features: a fine-grained topic detection and sentiment analysis approach

A novel fine-grained approach for classifying quality factors based on topic areas identified through unsupervised learning techniques, which shows that automatically identified topic areas within customer feedback can be meaningfully categorized as Must-Be, One-Dimensional or Attractive Qualities.