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P-time External PhD Research Student
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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

Team: Harith Alani, Miriam Fernandez, Paul Mulholland

Projects

ReelLives

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Publications

Publications | Visit External Site for Details Publications | Visit External Site for Details Publications | doi

Fernandez, M., Dickinson, T. and Alani, H. (2017) An analysis of UK Policing Engagement via Social Media, Social Informatics (SocInfo2017), Oxford, UK, 10539, pp. 289-304, Springer

Publications | Visit External Site for Details  

Farrow, E., Dickinson, T. and Aylett, M. (2015) Generating Narratives from Personal Digital Data: Using Sentiment, Themes, and Named Entities to Construct Storie, Demo at Human-Computer Interaction-INTERACT 2015

Publications | Visit External Site for Details  

Aylett, M., Farrow, E., Pschetz, L. and Dickinson, T. (2015) Generating Narratives from Personal Digital Data: Triptychs, Poster at 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, Seoul, South Korea

Publications | Visit External Site for Details  

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

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Actions and their Consequences: Implicit Interactions with Machine Learned Knowledge Bases

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