Below is a small class talk I gave on the hierarchical multi-labeling classification framework I outlined in my previous ‘Future of Tagging’ posts. I did a small experiment classifying tech news articles as Pro/Anti- Microsoft/Google (along with some other tags like the tech category and whether the article is a blog or publication based off the text of the piece). The results are very promising – even with such a small corpus of training documents the classifier performed very well. I do have some ideas on how to further improve accuracy, so when time cycles free up I’ll add those to the code and rerun it on a bigger and better (in terms of tag structure) training data set. By then I’m hoping the code will look less embarassing for public release and the results will be more conclusive – but until that day here are the presentation slides:

http://thumbstacks.com/play.html?show=b8f3f0c63f62631d9c5c77e33aba322a