Social networks occupy a ubiquitous and pervasive place in the life of their users. The
substantial amount of content generated and shared by social networking users offers new …

Social Web is a heterogeneous collection of both structured and unstructured dataprimarily
composed of contents from various social networking sites, blogs, online shopping sites and …

Over the last decade, social media have been recognized as important sources of
biomedical data generated directly by patients/consumers. With over 80% of the United …

The k Nearest Neighbors (KNN) algorithm has been widely applied in various supervised
learning tasks due to its simplicity and effectiveness. However, the quality of KNN decision …

Social media mining is an important process to extract beneficial information from social
media. Classification is a major task for this process while it is so difficult to deal with vast …

Sažetak The increasing amount of data in social networks has complicated data processing
and interpretation. Therefore, intelligent decision-support mechanisms that have the ability …

Purpose: This study analysed text mining from full-text articles and abstracts by postgraduate
students in selected Nigeria universities. Design/methodology/approach: The study adopted …

Cloud computing is considered to be an integral aspect in all business and this is expected
to change the information technology (IT) landscape. This has been based on the model that …

Abstract Online Social Networks (OSN) like Twitter, Facebook, LinkedIn, Myspace, YouTube
and Digg are getting very popular nowadays. They have become a part of everybody's life …

Classification of the cyber texts and comments into two categories of positive and negative
sentiment among social media users is of high importance in the research are related to text …