Prediction of a hotspot pattern in keyword search results.

•Hotspots of keyword search detections over speech recognition output are identified.•Keyword hotspots are modeled as Hawkes process to automatically label data.•Prosodic features are used to predict hotspots for word-sized time intervals.•Two challenges, class imbalance and disparity of training and test data, are addressed.•A novel data selection method with good generalization properties is proposed.