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- W2087562021 abstract "A pressing need of vehicle quality management professionals is decision support for the vehicle defect discovery and classification process. In this paper, we employ text mining on a popular social medium used by vehicle enthusiasts: online discussion forums. We find that sentiment analysis, a conventional technique for consumer complaint detection, is insufficient for finding, categorizing, and prioritizing vehicle defects discussed in online forums, and we describe and evaluate a new process and decision support system for automotive defect identification and prioritization. Our findings provide managerial insights into how social media analytics can improve automotive quality management." @default.
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- W2087562021 date "2012-12-01" @default.
- W2087562021 modified "2023-10-10" @default.
- W2087562021 title "Vehicle defect discovery from social media" @default.
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- W2087562021 doi "https://doi.org/10.1016/j.dss.2012.04.005" @default.
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