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Abrahams, Alan S.; Jiao, Jian; Wang, G. Alan; Fan, Weiguo
Decision Support Systems, 12/2012, Letnik: 54, Številka: 1Journal Article
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. ► Online auto enthusiast forums contain many postings relating to vehicle defects. ► Therefore, social media analytics for vehicle quality management should be explored. ► We find that sentiment analysis is not effective for identifying vehicle defects. ► We propose a novel Vehicle Defect Discovery System (VDDS) using text mining. ► Results show robust defect classification across multiple vehicle brands.
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Dostop do baze podatkov JCR je dovoljen samo uporabnikom iz Slovenije. Vaš trenutni IP-naslov ni na seznamu dovoljenih za dostop, zato je potrebna avtentikacija z ustreznim računom AAI.
Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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Vir: Osebne bibliografije
in: SICRIS
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