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学术讲座通知：Product Defect Discovery from Social Media

2014/5/23镜像同步0 回复

学术讲座通知讲座题目：Product Defect Discovery from Social Media主讲人：樊卫国（PatrickFan）教授时间：2014年5月26日（周一）下午2:30-3:30地点：校办公楼501报告厅讲座摘要：The recent surge in the usage of social media, such as Facebook, Twitter, and online communities and forums has created an enormous amount of user-generated content (UGC). While there are streams of research that seek to mine UGC, these research studies seldom tackle analysis of this textual content from a quality management perspective. Those that have use either non-explanatory predictive methods or basic univariate analyses with a small and haphazardly selected assortment of available text assessment metrics. In this paper,we synthesize existing research studies on text mining and propose an integrated text analytic framework for product defect discovery based on statistical language processing and computational linguistics. The framework effectively leverages rich social media content and quantifies the words in the text using various automatically extracted signal cues. These extracted signal cues can then be used as modeling inputs for product defect discovery. We showcase the usefulness of the framework by performing product defect discovery using UGC from popular online automotive discussion forums. Implications of our framework and results for both research and practice are provided. 此讲座为前沿课题讲座，欢迎全校老师和研究生参加。校学术委员会经管院 2014年5月23日主讲人简介.docx

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