I spent last week on vacation out of state, not watching news reports or reading local papers, so I'm fairly clueless about what happened in Kansas while I was gone. Is there a better way to remedy that than another out-of-session round of #ksleg power rankings and topic mining? Probably. Is there a funner/nerdier way? Probably not.
So first the most important (sarcasm) part. A wordcloud.
Not too much surprising there, we are generally seeing the normal top words, like court, teacher, school, and fund. On to the topic mining, what topics did our topic mining algorithm find (correlated topic models)?
The model found five individual topics within the data. Here's what the tweets most associated with those topics referenced:
- Topic 1: A recent audit of the Kansas Pension System that showed it having a potential for fraud and abuse.(looks interesting)
- Topic 2: Kansas tax policy, its relationship to groups like the Koch's and Alec, and the economy generally.
- Topic 3: General conversations about Kris Kobach's efforts on voter fraud and a debate with a KU Law Professor.
- Topic 4: An effort in the legislature to setup an interim committee to study school funding. There are also some sub-topics here regarding KS relationship with the federal government, including medicaid expansion and efforts to move Gitmo detainees to Kansas.
- Topic 5: A general topic on the tenuous relationship in the last few weeks between the Brownback administration, the Court system, and Public Schools
SENTIMENT MININGInteresting topics, but what about how people feel? Our sentiment mining algorithm helps with that. First we mined the general polarity of tweets, and found that the tweets were slightly more negative than the last time we looked. Specifically, whereas in late August the negative:positive ratio was 2:3, it is now approximately 3:4.
We can also award the @MichaelofAustin memorial award for the most emotionally-negative reply tweets. These are the accounts most often replied to with the emotions of fear,sadness, and anger. . These are effectively, this week's most hated #ksleg accounts, per our sentiment mining algorithm. Looks like the governor caught the most negativity. (I was going to make this a top three list, but when jrclaeys, who I attended high school with, popped up at number four, I decided to expand)