My next post in the What makes a blog post popluar? series at the mSpoke blog is now up. This post looks at subjectivity and polarity in blog posts. I think it makes a small but interesting complement to some of the other recent discussions about subjectivity, including Lexalytic’s analysis of the reaction on Twitter [...]
I will be writing a series of blog posts for the mSpoke blog investigating correlations between the popularity of feed items and various properties of the items. The first post looks for a relationship between popularity and reading difficulty. Later posts will consider other properties of feed items, such as the use of opinionated language, [...]
Last week, I wrote a very technical post on how I model the distribution of comment counts for an RSS feed in FeedHub. I originally drafted the post to document its derivation. It was non-trivial enough that I feel that there is some merit in sharing this information with others, but it started with the [...]
As part of my work for FeedHub, I found the need to model the distribution of comment counts for blog posts in RSS feeds. In particular, I want to normalize the number of comments an item receives to a score ranging from 0 to 1. It turns out that the negative binomial distribution is a [...]