LDA project for KeyVis corpus by Charley Wu and Matthias Hofer

See wiki for more information

Requitements: *gensim (http://radimrehurek.com/gensim/install.html) *nltk (http://www.nltk.org/install.html) *pattern (http://www.clips.ua.ac.be/pattern)

*To Do List

• Write a method to compute the model's total probability
• Iterate through possible number of topics (K) and choose the best value based on the likelihoods from EM estimation
• Check out nltk book (http://www.nltk.org/book/) methods

Final Report Guidelines (http://vda.cs.univie.ac.at/Teaching/Vis/14s/project.html) M4: Final Report

The final report should be a stand-alone document describing your complete project. You should assume the reader has no prior knowledge of your project and has not read your proposal. Include the following information in your report:

Motivation Background information about the problem, tasks, users, and data Related work Other visualization solutions to this problem or similar problems Any previous visualization ideas that you incorporated into your solution Approach Description of your visualization design Reasons for your design choices Implementation Brief description of how the system was implemented (toolkits, languages, platforms) Any serious implementation challenges you encountered and how you handled them Results Scenario(s) of use, including screen shots of the system being used Performance of the system Feedback from the evaluations about the design and functionality of your tool. Discussion Strengths and weaknesses of your approach and implementation Lessons you learned References Your report should include screen shots of your software that demonstrate how it functions. There is no specific page limit so take as much room as you need for images. Some of the above sections will be much longer than others. (I would strongly advocate to write your report using the latex templates used for the Vis conference.)