TExVis: An Interactive Visual Tool to Explore Twitter Data

Abstract

Exploring tweets enables us understanding people's reaction and feedback regarding any particular event or product. Many tools have been developed to visualize Twitter data based on some criteria, e.g., keyword frequency or evolution of topics. Visualizing the relations between the keywords of the underlying Twitter data opens another window to analyze the people's reaction towards a particular event/product. Targeting this concern, our developed tool, called TExVis (Tweets Explorer and Visualizer), visualizes important keywords (e.g., hashtags, nouns, verbs) from the underlying tweets based on their frequency and shows the relations between them based on some criteria (e.g., the common tweets), using an extended Chord diagram. TExVis also visualizes the sentimental polarity for a better understanding of the keywords associated tweets. Further, the provided interaction, multi-level navigation, and filtering options help the users in better exploration of the underlying tweets. A user study with 16 participants shows a high acceptance towards the tool and our approach in general.