Research on the Opinion Mining System for Massive Social Media Data
The authors are supposed to discover the valuable public opinions based on the massive social media data (the comments data, social relation data and location data collected from social website like twitter), so that it could help users to make better decisions during shopping.In order to solve this problem, the authors used micro-blog data collected from Sina as an example and pro posed an opinion mining system based on the distributed computing system (Hadoop and related projects).This system was designed for a general purpose.It is not only for the restaurant area but also for the other fields like electronic products.
big data sentiment analysis of micro-blog text classification topic search data deduplication
Lijun Zhao Yingjie Ren Ju Wang Lingsheng Meng Cunlu Zou
Technology Strategy & Development Department, Neusoft Corporation, China
国际会议
Second CCF Conference,NLPCC2013(第二届自然语言处理与中文计算会议)
重庆
英文
424-431
2013-11-15（万方平台首次上网日期，不代表论文的发表时间）