A Comprehensive Review of Social Tagging: System Design, Analysis, Visualization, and Applications

Social tagging on online portals has become increasingly prevalent and is now considered one of the most effective ways to connect metadata with web objects. With the increasing variety of web materials, cooperative tagging is developing to accommodate new dimensions. As a result of this trend, a large body of literature has been done to discover various aspects of social tagging. In this survey paper, we present a comprehensive observation of major techniques and studies focused on the tagging system. In particular, we examine tag stream, tagging model, tag marginal, tag-based recommendations generation, visualization methods, practical applications, system integration and properties of related challenges. We discuss the motivations behind tagging behaviour, factors affecting tag selections, types of tag, modelling approaches, power-law distribution in data tagging data and strategies for effective tag recommendations. Tags, web search, object classifications, oncology generations and browsing experiences as metadata provide significant utility. We conclude by underlining future research directions in the field of social tagging.