Comments
There's unfortunately not much to read here yet...
Best of Machine Learning
Discover the best guides, books, papers and news in Machine Learning, once per week.
Follow the full discussion on Reddit.
Just wanted to post this out here for anybody that's interested in performing large-scale topic modelling on news articles (this was earlier brought up in this sub, so I thought it might be relevant here). This work was done by my research group as part of a larger project, The Gender Gap Tracker, which aims to examine gender-based disparities in mainstream Canadian news media coverage, and the topic modelling work is a natural extension of that, where we try to go deeper into which topics (across several news outlets) exhibit more stark differences in language based on the gender of those quoted.
There's unfortunately not much to read here yet...
Ever having issues keeping up with everything that's going on in Machine Learning? That's where we help. We're sending out a weekly digest, highlighting the Best of Machine Learning.
Best of Machine Learning
Discover the best guides, books, papers and news in Machine Learning, once per week.
Join 800 others in curating the best parts of Machine Learning!
Just one more step. We use social logins to make sure that real humans are curating the list!
or contribute on GitHub directly.