ConVis: A Visual Text Analytic System for Exploring Blog Conversations

Simple item page
dc.contributor.authorHoque, Enamulen_US
dc.contributor.authorCarenini, Giuseppeen_US
dc.contributor.editorH. Carr, P. Rheingans, and H. Schumannen_US
dc.date.accessioned2015-03-03T12:35:26Z
dc.date.available2015-03-03T12:35:26Z
dc.date.issued2014en_US
dc.description.abstractToday 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.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12378en_US
dc.publisherThe Eurographics Association and John Wiley and Sons Ltd.en_US
dc.titleConVis: A Visual Text Analytic System for Exploring Blog Conversationsen_US
Files
Collections
33-Issue 3
EuroVis14: Eurographics Conference on Visualization