Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
Ling Jiang

Ling Jiang
Data Scientist, The Washington Post

Ling Jiang is a data scientist at the Washington Post, where she works on data mining and knowledge discovery from large volumes of data and has successfully built several data-powered products using machine learning and NLP techniques. Ling is skilled in using various machine learning and data mining techniques to tackle business problems. She holds a PhD in information science from Drexel University.

Sessions

2:05pm2:45pm Wednesday, September 27, 2017
Secondary topics:  Media, Text
Eui-Hong Han (The Washington Post), Ling Jiang (The Washington Post)
Average rating: ****.
(4.50, 2 ratings)
The quality of online comments is critical to the Washington Post. However, the quality management of the comment section currently requires costly manual resources. Eui-Hong Han and Ling Jiang discuss ModBot, a machine learning-based tool developed for automatic comments moderation, and share the challenges they faced in developing and deploying ModBot into production. Read more.