Focused named entity recognition using machine learning
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Information Extraction: Distilling Structured Data from Unstructured Text
Queue - Social Computing
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Product manufactures for goods such as automobiles, computers, and consumer electronics spend a huge amount of money towards warranty costs. Large and mid-size product manufacturers are looking for Information Technology based solutions to reduce the overall cost towards warranty and enable compliance to government regulations. In this paper, we present an application of text analytics applied on textual data recorded in warranty claim forms for the purpose of efficient defect discovery. We propose a generic architecture of a text analytics based system for gaining intelligence from the textual data stored in warranty claim forms. We present a concrete example in automotive sector.