期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2018
卷号：6
期号：9
页码：7519-7522
DOI：10.15680/IJIRCCE.2018. 0609006
出版社：S&S Publications
摘要：Analysing social media data, in particular Twitter feeds for sentiment analysis and privacy analysis, has
become a major research and business activity due to the availability of web-based application programming interfaces
provided by Twitter, Facebook and News services. Social Media sites such as Facebook, Twitter, LinkedIn and
Google+ contain large volume of unprocessed raw data. By analysing this data new knowledge can be gained. Since
this data is dynamic and unstructured traditional data mining techniques will not be appropriate. In this paper we
discuss about data mining, social media data, data mining techniques applied in the social media. In this paper a survey
of the works done in the field of social network data mining analysis and techniques followed to perform the data
mining on the social network data. Results of this survey can serve as the baselines for future data mining research.
关键词：data mining; social media; social network data analysis
