ConVis: A Visual Text Analytic System for Exploring Blog Conversations

Pretty picture placeholder Pretty picture placeholder
The initial interface Highlighting Selection

Abstract

Today it is quite common for people to exchange hundreds of comments in online conversations (e.g., blogs). Often, it can be very difficult to analyze and gain insights from such long conversations. To address this problem, we present a visual text analytic system that tightly integrates interactive visualization with novel text mining and summarization techniques to fulfill information needs of users in exploring conversations. At first, we perform a user requirement analysis for the domain of blog conversations to derive a set of design principles. Following these principles, we present an interface that visualizes a combination of various metadata and textual analysis results, supporting the user to interactively explore the blog conversations. We conclude with an informal user evaluation, which provides anecdotal evidence about the effectiveness of our system and directions for further design.

Video

Video demo: ConVis
Video demo: ConVisIT

Live Demo

Click here to run ConVis on a sample conversation

Instruction: Mozilla Firefox browser is preferable.

Source Code

Publications

  • Enamul Hoque and Giuseppe Carenini, ConVis: A Visual Text Analytic System for Exploring Blog Conversations, Journal of Computer Graphics Forum (Proceedings of the EuroVis), 2014 [ pdf ]
  • Enamul Hoque and Giuseppe Carenini. ConVisIT: Interactive Topic Modeling for Exploring Asynchronous Online Conversations, Proceedings of ACM Intelligent User Interfaces (IUI), 2015 [pdf ]
  • Enamul Hoque, Giuseppe Carenini and Shafiq Joty. Interactive Exploration of Asynchronous Conversations: Applying a User-centered Approach to Design a Visual Text Analytic System. In Proceedings of the Workshop on Interactive Language Learning, Visualization, and Interfaces (ILLVI 2014), in conjunction with the ACL-2014, Baltimore, USA.