FST Graduate Research Topic

Research Topic: Text analysis for topic and sentiment recognition
Suggested By: Dunwei (Grant) Wen
Last Update: September 2nd, 2009

This research will focus on applying natural language processing (NLP) and machine learning in analyzing conversations and documents in text to automatically recognize the included topics and sentiments. Topic recognition can be used in social networks, computer games and mobile learning environment for classifying and clustering discussions and users, and for facilitating some personalized services such as interest group recommendation. Sentiment recognition is useful for personalized e-learning such as learning style recognition, and for analysis and statistics of online events and communities. The graduate students who want to pursue the research need to be familiar with Artificial Intelligence, especially natural language processing and machine learning. Background in social software or computer games will an asset for the application aspect of the project. This research topic is suitable for Project or Thesis.