Project: Social Behaviour Analysis: Quantifying User Opinions

Project: Social Behaviour Analysis: Quantifying User Opinions

This research project studies how to quantitatively measure a user's opinion based on social interaction data. Different measurement methods will be examined and compared, including methods of correspondence analysis, Bayesian inference and Neural Network Embedding. 

Requirements: 

• BSc/MEng/MSc student in the Department of Computer Science.

• Good knowledge and skills in mathematics and machine learning.

• Good skills in programming, such as Python.

More information:

The following file provides an introduction to the three opinion measurement methods that will be studied in this project. 

• Talk slides by Zhixiang WANG in May 2022 

Contact:

Please contact Shi Zhou <s.zhou (at) ucl.ac.uk> for more information.