Natural language processing has garnered interest in helping people interact with computer systems to make sense and meaning of the world. In the area of visual analytics, natural language has been shown to help improve the overall cognition of visualization tasks.
In this latest Data Science Central webinar, Vidya will discuss how natural language can be leveraged in various aspects of the analytical workflow ranging from smarter data transformations, visual encodings, autocompletion to supporting analytical intent. More recently, chatbot systems have garnered interest as conversational interfaces for a variety of tasks. Machine learning approaches have proven to be promising for approximating the heuristics and conversational cues for continuous learning in a chatbot interface.
Vidya will explore the implications for these data-driven approaches in broadening the scope for visual analysis workflows. She will also discuss the future directions for research and innovation in this space.
Vidya Setlur, Principal Research Scientist – Tableau
Stephanie Glen, Editorial Director – Data Science Central