Join UBC Language Sciences for a talk with Data Science Institute Director and UBC Computer Science Professor Raymond Ng.
In the first half of this talk, he will give a short overview of some of the research he has done on analyzing various types of text data. This would include sentiment analysis and abstractive summarization. In the second half of the talk, he will discuss how to build predictive models based on text and data of various kinds. He will use examples on identifying patients with emotional needs, and stratifying children who are at risk of committing suicide. Finally, he will speculate on how language sciences can enhance predictive models that are purely data-driven.
