Techniques and Softwares for Social Media Data Mining

Abstract

Data mining refers to a framework by which a company can easily enhance their performance. In this study, social media data mining process is critically evaluated with help of several types of data sets. Techniques and software’s are also mentioned in this study, by which a firm maintains this data mining process in a significant way. Importance of social media data mining is to attract more customers. Every company has a goal and objective in global market to enhance their performance. Social media data mining process helps a company to achieve those objectives and goals. Predictive analysis, improved revenue, lower costs and creating awareness are essential benefits of this particular process related to a company. Privacy and security related issues of data are faced by a firm with help of this data mining process. This process requires more amount of money initially, for this reason, small organisations cannot be able to maintain this social media data mining process. Association, clustering, classification, machine learning process, data cleaning and data visualisation are unique and relevant techniques of data mining. Usage of these techniques are briefly discussed in this study..