关键词: 社交媒体分析, 缺陷识别, 文本挖掘, 手机

Abstract: To obtain users'feedback on phones'defects from social media,based on the improvement of current social media analytics framework,a creative framework of phones defect discovery from social media was put forward by taking characteristics of various platform factors into consideration.With analysis and comparison,the support vector machine classification method was used to identify the emotion of reviews from the social media,and defects corpus were created.On this basis,the defects of phones were analyzed by themed model,and different defects clustering were formed.The relevant experiments were operated,and the result showed that the proposed method had better accuracy and recall,which could identify the phones'defects from Chinese social media effectively.

Key words: social media analytics, defect discovery, text mining, phones