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Showing posts from March, 2016

#Empire

I don't watch TV so can't comment much about the Fox show Empire . But yesterday #Empire was trending because they had a midseason premiere recap so I analyzed it. This website says that Empire got great ratings and viewed by more than 12 million people yesterday. As it turns out Hakeem Lyon is one of the fictional characters on the show and he got Twitter talking! If you actually watch this show you will enjoy the wordcloud much more.   To my surprise the sentiment was not as positive as I had expected based on what I found about the premiere. With the amazing ratings, the positive sentiment should have been much higher. I suspect that it may have to do with the way this sentiment analysis algorithm works. I am planning to change it soon so I will come back to this hashtag and see whether I get different results.  

#EgyptAir

If you haven't checked it already, there has been a hijacking of an Egypt Air plane, which was forced to land in Cyprus. The hijacker is now arrested. Read more about this on Bloomberg and there is an interesting video of a hostage climbing out of the plane at Telegraph . Here is the wordcloud accompanied by the sentiment graph.

#HIcaucus

On Saturday 3 states -- Hawaii, Alaska, and Washington -- had Democratic primaries. In all the three states Bernie Sanders won by a huge margin over Hillary Clinton. This is quite an achievement because so far Clinton has been winning many delegates. When I checked earlier, the hashtag #HIcaucus was tending so I downloaded tweets that included it. There is no surprise how the wordcloud looks. Also the sentiment is quite positive which indicates that Bernie supporters were using this hashtag. The news media was silent for a long period about this news. Some Bernie supporters claimed that this is because media is biased against Bernie.

Easter

Happy Easter to those who celebrate!

#Brussels

I made this wordcloud for #Brussels at the backdrop of the terror attack. I collected 400,000 tweets, out of which around 81,000 were original and usable. It's great to see that people were so much concerned about the victims. The wordcloud mentions "people" and "thoughts" most frequently followed by "airport" and "attacks" and more importantly "prayers".   The sentiment was split. This is not surprising because many of the tweets would carry negative and positive words all at the same time. Therefore, getting a polarized graph is totally expected.    

#LoveTwitter

This hashtag is trending on Twitter's 10th birthday. Twitter, unfortunately, is not in a great shape. Since its IPO, the stock is down close to 60%. For comparison, Facebook stock is up 134% in the same period! Nonetheless, The wordcloud is all good. So is the sentiment chart. I really hope that Twitter survives and celebrates many more birthdays!