We could do some informal exploratory data analysis of, and create some generative models from, online text sources like project gutenberg (https://www.gutenberg.org/) or from song lyrics (http://www.azlyrics.com/). This would give us the opportunity to gain some experience with a type of data most of us have not used. We could try performing quantitative comparisons of different great works of literature, or create random song lyric generators for artists we like using something simple like a markov chain model or perhaps even something more complicated like a recurrent neural network. It's unlikely anything we do would be novel, but it would be fun. Any ideas welcome.
Warwick Annual Retreat Projects
As you should be aware, the format of the retreat is slightly different this year. Parts of the timetable are dedicated to the Warwick Annual Retreat Projects (WARPs) where you will collaborate with others on a chosen project in a study group style atmosphere.
The aim of these projects is to foster a collaborative atmosphere within the department, particularly between year groups. Therefore it is hoped that this format change will be both enjoyable and informative.
If you wish to propose a potential project then please add a brief problem description as a topic in the forum below, where others can express their interest and give other comments on your ideas.
This could just be a vague idea which others can help you form.
Warwick Annual Retreat Projects
Project: Text mining and analytics
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Details:
-The problem should not be part of your PhD!
- It is encouraged that the problem proposed be sufficiently simple so that someone without domain specific knowledge could contribute.
- ~6 hours are allocated for these projects so some progress should be possible within this time-frame.
- Groups will be expected to give an informal summary at the end of the retreat and will give a presentation the Wednesday following the retreat (12:30, 11th May).