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Currently i desired observe precisely what these Tweets are around. Making use of the open-source information statistics device KNIME, we given in the Tweets, did some info cleanup, and developed keyword clouds in order to get an image quite popular subjects.

Let’s focus on Tinder:

Various phrase got me itching the brain to begin with.. palace? Bots? But slightly searching concluded in this retweeted history: “Tinder Hacked By Bots Providing Palace Conflict Game Downloads“.

More statement, like dating, single men and women, alluring, hot, and meets, all remain in Tinder’s popularity.

We accepted a peek at the data on swiping appropriate (claiming ‘yes’ to a fit) and swiping left (saying ‘no’) and folks had been Tweeting about swiping correct nearly twice as much as swiping put.

Further up, OkCupid:

Since I discussed inside past post, about 60 percent on the OkCupid postings revolved around OkCupid’s boycotting of Firefox because Mozilla’s ceo got donated on the anti-gay wedding Prop 8. That definitely skews the data! Another big journey (the words horror, steals, cell) experienced this title: “Nightmare OkCupid meeting Steals Girl’s Phone and Impersonates Her on the web.” Surprisingly, relationship lasted into the word affect (unlike in Tinder and eHarmony) but that sounds and to become related to the Mozilla boycott!

Near awake in quantity of Tweets ended up being Badoo–but much of the records was at Spanish.

I made a decision to concentrate on the next one instead, eHarmony:

Seemingly eHarmony had a commercial out that manufactured lots of people uncomfortable. As to “job,” they incorporated a variety of task posts at eHarmony (used to do shed all other Tweets by the online dating app’s Twitter account, but some others posted identically know-how).

995pm refers to a great deal eHarmony am managing once: $9.95 monthly.

Additional interesting terms: special, “findlove”, individual, and matchmaker.

What About Like?

“Love” had been the 42nd most commonly known text in Tinder’s Tweets, 108th for OkCupid (individuals were too active Tweeting on the boycott!) and the 11th most typical at eHarmony. I can’t talk about I’m surprised that individuals Tweeting about eHarmony were Tweeting many about like!

So What Now?

The second thing I’d like to do because of this information is sentiment analysis–that try, is customers declaring better damaging or positive reasons for having all these places? I’d also like to acquire a few more information for OkCupid within the Mozilla boycott has gone by.

Complex Ideas

You have pointed out that each keyword affect provides the identity associated with the going out with site/app alone. Used to do eliminate the majority of those text (each Tweet enjoys one so it’s definitely not particularly relevant!) but a few kept in due to the way your data am structured. I often tried KNIME’s Parts of message tagger, and interestingly sometimes it labeled the going out with applications as a noun, and sometimes as a verb (according to where in the words it appears). If I are for this once more, I’d pull those circumstances at the same time.