From text analytics to predictive analytics enhanced by language sciences

Data Science Institute Director and UBC Computer Science Professor Raymond Ng will give a short overview of some of his research, analyzing various types of text data, including sentiment analysis and abstractive summarization. Then, he will discuss how to build predictive models based on text and data of various kinds and use examples involving identifying patients with emotional needs, and stratifying children with potentially high risk for suicide. Finally, Dr. Ng will speculate as to how language sciences can enhance predictive models that are purely data-driven. More information is available here and you can RSVP here.