Online Social Networks become the medium for a plethora of applications such as targeted advertising and recommendation services, collaborative filtering, behavior modeling and pre- diction, analysis and identification of aggressive behavior, bullying and stalking, cultural trend monitoring, epidemic studies, crowd mood reading and tracking, revelation of terrorist net- works, even political deliberation. They mainly aim to promote human interaction on the Web, assist community creation, and facilitate the sharing of ideas, opinions and content. Social Networking Analysis Research has lately focused on major Online Social Networks like Face-book, Twitter and Digg [Chelmis and Prasanna, 2011]. However, research in Social Networks [Erétéo et al., 2008] has extracted underlying and often hidden social structures [Newman, 2010] from email communications [Tyler et al., 2003], structural link analysis of web blogs and personal home pages [Adamic and Adar, 2003] or recently explicit FOAF networks [Ding et al., 2005], structural link analysis of bookmarks, tags or resources in general [Mika, 2007], co-occurrence of names [Kautz et al., 1997] [Mika, 2007], and co-authorship in scientific publications references [Wasserman and Faust, 1994], and co-appearance in movies or music productions [Yin et al., 2010]. Interactive visualizations is employed by visual analytics in order to integrate users' knowledge and inference capability into numerical/algorithmic data analysis processes. It is an active research field that has applications in many sectors, such as security, finance, and business. The growing popularity of visual analytics in recent years creates the need for a broad survey that reviews and assesses the recent developments in the field. This paper reviews the state of the art of sentiment visualization field. The growing popularity of sentiment visualization systems in recent years is an active research area. In this paper, we will present a survey that reviews and assesses the recent visualization techniques and systems in the field. This report classifies and reviews the recent approaches in visual analysis. The motivations in conducting this survey are twofold. First, we aim to review the most recent research trends and developments of sentiment visualization techniques and systems and provide a precise review of the field. Second, this survey aims to provide a critical assessment of the research which can help enhance the understanding of the field.


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