Focused named entity recognition using machine learning
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Information Extraction: Distilling Structured Data from Unstructured Text
Queue - Social Computing
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We present an application of text analytics in automotive industry and describe a research prototype for extracting named-entities in textual data recorded in automotive warranty claim forms. We describe an application for gaining useful insights about products defect reported to the dealer during the warranty period of vehicles. The prototype is developed for air-conditioning subsystem and consists of two main components: a text tagging and annotation engine a query engine. We present some real world examples with sample output and share our design and implementation experiences.