log in  |  register  |  feedback?  |  help  |  web accessibility
Natural Language Processing and Text Mining with User Behavior Data
Wednesday, April 3, 2019, 11:00 am-12:00 pm Calendar
  • You are subscribed to this talk through .
  • You are watching this talk through .
  • You are subscribed to this talk. (unsubscribe, watch)
  • You are watching this talk. (unwatch, subscribe)
  • You are not subscribed to this talk. (watch, subscribe)
In an active e-commerce or search environment, Natural Language Processing (NLP) and Text Mining can be the essential tasks, while the text data often co-exist with abundant and heterogeneous user behavior information in the same ecosystem. By leveraging large scale text plus user behavior data, we proposed a number of algorithms/applications to address different novel/classical research questions. In this talk, three cases will be presented: 1. Educate Machine to be a Creative Writer via User Feedback, 2. Anti-spam with Text and User BerryPicking Data, and 3. Sentiment Analysis via Heterogeneous Behavior-Graph Mining. In these works, the user behavior and text information are jointly encapsulated by using innovative representation learning, and the proposed models are able to bridge various kinds of data for efficient optimization.   
Xiaozhong Liu is Associate Professor from School of Informatics, Computing and Engineering at Indiana University Bloomington. He also serves as the senior consultant at Alibaba DAMO Academy. His research is focusing on Information Retrieval, NLP, Digital Library, Information Seeking and Heterogeneous Graph Mining. While active in academia, his research also extends to industry. Currently, his algorithms are used more than 50 million times per day for a number of world-leading search engines and recommendation systems. 


This talk is organized by Marine Carpuat