UROP Project Listing System
 
Project Title:
Natural language processing for social media and eCommerce data
Supervisor:SONG Yangqiu
Co-Supervisor:-
Quota:5
Project Description:We aim at building a pipeline of processing social media and eCommerce data, such as data from Yelp and Amazon. The goal of natural language processing is to generate structured knowledge out of unstructured text data. The structured knowledge can then be used for recommendation, review rate prediction, and user profiling tasks.
Course type: UROP1100 UROP2100 UROP3100 UROP4100 
Applicant's Roles:Help PhD students develop algorithms, analyze data and results, write papers. 
Applicant's Learning Objectives:Know how to work on research problems related to social network and eCommerce natural language processing. 
Complexity of the project:Challenging 
 



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