What is this blog about?

Hello world!

This blog has only one objective. Every day I will post a wordcloud that I will create by downloading tweets that included one of the trending hashtags (near Singapore for the time being). This is just for fun. I will also post a simple sentiment analysis histogram with polarities of the words. I will explain in a follow up post how I am doing all this. For the time being sit back and check out one wordcloud a day!

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#Oscars 2016

All the rage for the last 2 days was about Oscars. I tried to download a few tweets earlier but got some server error several times. Finally it worked yesterday and here is the wordcloud. No surprise there that Leonardo Dicaprio got so much attention on Twitter. This was his 1st Oscars after having nominated six times in the past! Only a few more names pop up with his name in the wordcloud. There is Lady Gaga and then Chris Rock, who was hosting the awards ceremony. Chris Rock opened with a controversial monologue but unfortunately I couldn't locate a clean video. It seems that they have pulled it off different networks. Here is an article that tells you what happened: http://www.telegraph.co.uk/culture/film/oscars/12175247/chris-rock-academy-awards-oscars-jokes-monologue.html

#PanamaPapers

Perhaps by now you must have heard about the biggest news of this year. A Panama based company Mossack Fonseca which helped create shell companies to many rich people around the world in order to do legal as well as illegal things (hiding taxable income, corruption money, etc.) sprouted a major leak. More than 11 million documents amounting to 2.6 TB were leaked to journalists. You can read everything about this here: http://panamapapers.sueddeutsche.de/en/ The size of the leak is enormous! Here is a graph for comparison: In light of this #panamapapers hashtag has been trending today. I downloaded more than 200K tweets but only around 34,000 were original and rest were retweets. Here are the wordcloud and sentiment graph

#SanBernadino Update

This is an update on the San Bernardino shooting. When I created the last post , I had downloaded the tweets before the shooters were identified. People were blaming NRA for the shooting. Now that the killers have been identified as Muslims, suddenly Twitter is blaming all the Muslims! Well, that's reflected in the wordcloud: The sentiment is still neutral though.

One Wordcloud A Day

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