Sentiment analysis refers to the class of computational and natural language processing
based techniques used to identify, extract or characterize subjective information, such as …

Understanding published unstructured textual data using traditional text mining approaches
and tools is becoming a challenging issue due to the rapid increase in electronic open …

With the development of social media (eg Twitter, Flickr, Foursquare, Sina Weibo, etc.), a
large number of people are now using them and post microblogs, messages and multi …

The fundraising of crowdfunding campaigns is potentially influenced by the founder's digital
reputation and project-sharing cascades via social networks. Our paper empirically …

Visual analytics usually deals with complex data and uses sophisticated algorithmic, visual,
and interactive techniques supporting the analysis. Findings and results of the analysis often …

Social media data with geotags can be used to track people's movements in their daily lives.
By providing both rich text and movement information, visual analysis on social media data …

Visual text analytics has recently emerged as one of the most prominent topics in both
academic research and the commercial world. To provide an overview of the relevant …

We present the design, implementation and evaluation of iVisDesigner, a web-based system
that enables users to design information visualizations for complex datasets interactively …

This research note seeks to examine a vast amount of tourism-related Chinese social media
posts using a visual analytic approach. Visual analytics turns information overload into an …

Public opinion is becoming increasingly involved in feasibility studies, construction, and post-
evaluation of large hydro projects. Recently, with the rapid development of social network …