Tom DickinsonPhD Research Student
I am currently a PhD student who's thesis title is "Telling Life Stories from Social Media Content".
The approach I am taking looks at identifying and categorising events from a persons social media data.
Given this data, we then look at how we might be able to rank events in terms of how memorable they are for a particular agent, as well as investigate ways we can seek to maximise recall for events by addressing things such as semantic memory, and ordering.
I am also attached to the ReelLives project which looks at doing something very similar. The goal of ReelLives is to create short documentaries that are automatically generated from a persons social media data, using things such as photos, videos and posts.
Keys: semantics,semantic web,reel lives,machine learning,nlp,java,event detection
Dickinson, T., Fernandez, M., Thomas, L., Mulholland, P., Briggs, P. and Alani, H. (2016) Detecting Important Life Events on Twitter Using Frequent Semantic and Syntactic Subgraphs, IADIS International Journal on WWW/Internet, 14, 2, pp. 23-37
Dickinson, T., Fernandez, M., Thomas, L., Mulholland, P., Briggs, P. and Alani, H. (2016) Identifying Important Life Events from Twitter Using Semantic and Syntactic Patterns, 15th International Conference WWW/Internet 2016, Mannheim, Germany
Dickinson, T., Fernandez, M., Thomas, L., Mulholland, P., Briggs, P. and Alani, H. (2015) Automatic Identification of Personal Life Events in Twitter, Poster at ACM Web Science (WebSci '15), Oxford, UK
Dickinson, T., Fernandez, M., Thomas, L., Mulholland, P., Briggs, P. and Alani, H. (2015) Identifying Prominent Life Events on Twitter, 8th International Conference on Knowledge Capture, New York, America
Aylett, M., Farrow, E., Pschetz, L. and Dickinson, T.Generating Narratives from Personal Digital Data: Triptychs, Poster at 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, Seoul, South Korea