I don't want to offer an opinion on the situation at Mizzou on this blog, however, interest in the situation sent me down the path of text mining tweets today. I downloaded last two days of tweets with hashtag #mizzou and used my normal methodology (download tweets, sentiment, topic mining) Some takeaways (I'm just going to show data, not too many words after this):
- Negative Polarity: Tweet polarity-wise, this is the most negative set of tweets I've ever mined. More negative than government and education in Kansas, much more negative than the Royals.
- Recently Negative: The tweets I analyzed and topics found are negative towards the protesters, but that could be because I pulled the last two days. If I looked earlier in the week I would likely see different results. Also if I used other hashtags (e.g. #concernedstudent1950, #blacklivesmatter, #millionstudentmarch) I would likely see much different results.
- #TCOT Presence: I noted a large presence of TCOT (top conservatives on twitter) in the tweets I downloaded, especially in a couple of discovered topics. The presence of this hashtag at high intervals tells me that conservatives have been widely using the #mizzou hashtag.
Largely without comment. First, I searched the hashtag #Mizzou and these were the top two results (for flavor).
My take: "The Idiotic, Lawless Mizzou Protesters Deserve to Be Mocked https://t.co/5846pWJcLr via @NRO"— Katherine Timpf (@KatTimpf) November 13, 2015
I see #Mizzou is trending again. Did they get invaded by scary clowns or something?— Hat Of Oppression (@ScottInSC) November 13, 2015
And a wordcloud of all the tweets. The words center on "students," with a few hashtags like #blacklivesmatter and #millionstudentmarch. The rest of the terms focus on general racial words with "college" terms also getting high marks.
A few months ago I compared polarity of three hashtags I commonly analyze (Kansas Government, Kansas Education, and the Royals).
Today I did the same analysis for #mizzou. Much higher percentage negative than even Kansas Government.
Finally I created a topic model. Generally speaking, each topic contained both positive and negative comments about the protesters, with the majority leaning negative. The most positive towards the protesters was topic three. If I had to name the discovered topics they would be:
- Truth/Lies of the protesters.
- Support of protesters.
- Free Speech and Football.
- Generally making fun of the protesters.
Here's my term printout from R:
And each topic with it's top correlated tweet:
TOPIC 1: "Lies" of protesters
TOPIC 2: "TCOT"JONATHAN BUTLER WAS NOT HIT BY CAR - LYING FRAUD CAUGHT ON CAMERA! Mizzo... https://t.co/1GGoQxKNuS via @YouTube #Mizzou— NJ_IN_DISTRESS (@david_schulze) November 13, 2015
#Mizzou Hurt Feelings Kit #SafeSpace @MSMSBoycotts #RedNationRising #TCOT #PJNET #CCOT #TLOT #YCOT #LNYHBT #ORPUW pic.twitter.com/uKGE2OzhDO— Alex (@Alexs1776) November 12, 2015
TOPIC 3: Support of protesters.
Jus wana giv a shoutout 2 the not teribl pepl out ther the 1s who stnd with the minortys n womn evn tho u dnt hav 2. U the real MVP #Mizzou— Joshua Seth (@joshsid93) November 12, 2015
TOPIC 4: Free Speech and Football
TOPIC 5: Generally making fun of protesters.If you surrendered free speech because of your s***ty football team, you don't deserve the accolade "university." #Mizzou - @benshapiro— Mailboxes Etc Campus (@MBE_Students) November 13, 2015
Dude you need to seriously get your moms money back from college cause you ain't learned crap😳😖 #Mizzou #MizzouHOAX pic.twitter.com/AWFBiM9M0I— BHOfakefollower (@BHOFakeFollower) November 13, 2015