Emotion-based Event Detection

MPhil Thesis Defence


Title: "Emotion-based Event Detection"

By

Mr. Kam-Kong Wu


Abstract

Event detection helps people to identify “meaningful” events from 
document. The form of common messages evolves from news stories and formal 
document to short and informal messages from the social networking 
services such as Facebook, Twitter and Google+. The popularity of mobile 
devices and availability of wireless access to the internet accelerates 
both the growth of the number of users and the amount of messages 
generated from these services.

We propose an event detection system aimed to investigate large amount of 
short messages, namely tweets, from Twitter. To train the system to find 
“meaningful” events, we combine findings from psychologists and computer 
scientists. From the psychologists’ research results, we identify the set 
of emotion words. And we employ our feature set and graph modelling to 
identify “meaningful” events. We developed a fixed size feature set for 
modelling tweets and extracted tweets that contain emotion for events. We 
demonstrate our system by an example from TREC Tweets2011 courpus.


Date:				Tuesday, 4 September 2012

Time:				10:00am – 12:00noon

Venue:				Room 3501
 				Lifts 25/26

Committee Members:		Dr. Helen Shen (Supervisor)
 				Dr. Lei Chen (Chairperson)
 				Dr. Raymond Wong


**** ALL are Welcome ****