Abstract
In the era of big data, the features of online public opinion give some serious challenges for existing data analysis methods and it's necessary to find new ways to deal with these challenges. Granular computing can simulate human thinking mode to think about and solve large-scale and complex problems. This pattern provides an effective tool for meeting the challenges in online public opinion. This paper focus on rough sets to give a review on granular computing based online public opinion. Some existing problems are analyzed and the future research direction of this filed are looked ahead.
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