Research on the opinion mining system for massive social media data

Abstract

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 proposed 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. © Springer-Verlag Berlin Heidelberg 2013.