Skip to main content

#OscarNoms

Yesterday Oscar nominations were announced. You can check the nominations from the official website. I could download close to 150K tweets but fewer than 1/6th were original and rest were retweets.

There should be no surprise that the word "best" appears so many times. It must have been used to declare the nominations such as "best film", "best actor", etc. What surprised me the most was that people were not talking much about specific nominations. There were so many generic words - amazing, nominees, nominated, actor, beautiful, etc. However, if you look closely some of the generic words are coming from the movie titles! For example, "mad" is from "Mad Max".

 Leonardo DiCaprio was nominated for The Revenant and his name in bits "leo", "dicaprio" shows up a few times. His movie name also shows up frequently. Surprisingly "Powerball" showed up a lot meaning that this was piggybacking the popular hashtag. Ala Rickman shows up too, which is likely because of his death.
 
The overall sentiment is neutral. Between positive and negative, it's highly positive.
 

Labels

Labels:

Comments

Post a Comment

Popular posts from this blog

#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
Post a Comment
Read more

#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.
Post a Comment
Read more

#SanBernadino

Update: Check the companion wordcloud for this here Even as I write this, the events are still unfolding in San Bernardino. Two or possibly three gunmen killed 14 innocent people. You can read up more here: http://www.nytimes.com/2015/12/03/us/san-bernardino-shooting.html or here: http://www.latimes.com/local/lanow/la-me-ln-san-bernardino-shooting-live-updates-htmlstory.html Anyway, the most trending hashtag is misspelt! It's worth noticing that at this point NRA was quite common. This is because up to this point people were blaming NRA for the tragedy. This has changed since I downloaded the tweets, however! The sentiment for the hashtag is surprisingly neutral. I say surprisingly because now the hastag has become very toxic as the shooters are identified as Muslims. Suddenly there are so many xenophobic comments that I am sure the sentiment would be quite negative now.
Post a Comment
Read more