Skip to main content

Followup to Superbowl Tweets

Comparison Cloud

I classified the tweets on the basis of hashtags as either Bronco or Seahawk fans

Bronco Fans :    #GoBroncos","#BroncosNation","#BroncosFan","#GoManning","#PeytonManningRocks", "#BroncosWin"

Seahawk Fans: 

Broncos Fan Tweets  Geo-plot                                                 

Seahawk Fan Tweets  Geo-plot 

Tweet Sentiment Comparison

I took a rolling mean of 100 tweets for Broncos & Seahawk fans. The excitement of Broncos fans was pretty short lived and as the game progressed, that blue line for Seahawks consistently showed a better sentiment score than the red line for Broncos. 

By the end of the game, there were rapid spurts tweets with Broncos hash tags that were loaded with negative words and the red line tells that story.


Popular posts from this blog

Deep Dreams with Keras & Tensorflow

Made some modifications to the DeepDreamcode courtesy François Chollet and added few extra layers, changed the loss function settings a bit and viola !!!

Used the pre-trained model based on the VGG16 network architecture.

I will post the github link shortly. 

Iteration 1

                                                                            Iteration 2

                                                                          Iteration 3

Iteration 4

Iteration 5

Random !