This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS 1 SentiView: Sentiment Analysis and Visualization for Internet Popu

Abstract—There would be value to several domains in discover-ing and visualizing sentiments in online posts. This paper presents SentiView, an interactive visualization system that aims to analyze public sentiments for popular topics on the Internet. SentiView combines uncertainty modeling and model-driven adjustment. By searching and correlating frequent words in text data, it mines and models the changes of the sentiment on public topics. In addition, using a time-varying helix together with an attribute astrolabe to represent sentiments, it can visualize the changes of multiple at-tributes and relationships among demographics of interest and the sentiments of participants on popular topics. The relationships of interest among different participants are presented in a relation-ship map. Using a new evolution model that is based on cellu-lar automata, it is able to compare the time-varying features for sentiment-driven forums on both simulated and real data. Adapt-able for different social networking platforms, such as Twitter, blog and forum, the methods demonstrate the effectiveness of SentiView in analyzing and visualizing public sentiments on the Web. Index Terms—Microblog, sentiment, social networks, visual an-alytics, web forums. I