کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4943714 | 1437639 | 2017 | 32 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Automated defect discovery for dishwasher appliances from online consumer reviews
ترجمه فارسی عنوان
کشف خودکار نقص برای لوازم خانگی ماشین ظرفشویی از بررسی های آنلاین مصرف کننده
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کلمات کلیدی
کشف نقص، استخراج متن، مدیریت کیفیت،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
Product defects can have a devastating impact on a firm's sales and reputation, especially in the era of social media. The early detection of defects could not only protect consumers from financial losses, but could also mitigate financial damage to the manufacturer. Previous work in automated defect discovery has had success in the automotive, consumer electronics, and toy industries, but so far there has been no application to home appliances. In this study, we extend the text analytic framework conceived in earlier work to the discovery of underperformance in large home appliances, specifically dishwashers. We find that generic cross-domain sentiment techniques can be strongly complemented by domain-specific “smoke” and “sparkle” term lists that are highly correlated with potential defects. These findings can be highly beneficial to improving dishwasher appliance quality management methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 67, January 2017, Pages 84-94
Journal: Expert Systems with Applications - Volume 67, January 2017, Pages 84-94
نویسندگان
Darren Law, Richard Gruss, Alan S. Abrahams,