Hmm, I really like that last point you've made... both highly positive and negative takes, I'll look into that. For the semantic analysis process, we are using

Hmm, I really like that last point you've made... both highly positive and negative takes, I'll look into that. For the semantic analysis process, we are using Microsoft's API - scores from 0-1. And for the most part, it is pretty good based on our views on neutrality (which of course has some inherent biases). 0.5 is considered pretty indifferent, however, we allow for a threshold of 0.35 - 0.75 as neutral, but we specify it's lean on our end. On Reddit, we've tested our summaries in the comments for tl;dr and we actually indicate the articles lean for example "This article is neutral with a negative lean on the topic". In Finance, top publications do a great job on maintaining neutrality. However, if we ever get into politics... we'll need to take this a little more seriously! Thanks for the comment.