All slides

Part 1 - Motivation & Introduction:

• Motivation for Visual Text Analytics
• Understanding Visual Text Analytics

Part 2 - Methods and tools for visual text analytics:

• Algorithms for supporting Visual Text Analytics
• D3: programming library for Visual Text Analytics
• Review of Visual Text Analytics systems

Part 3 - Conclusions:

• Lessons learned
• Interesting research directions