Lexalytics Uses Text Analytics to Find the Most Popular Superhero
May 31, 2012
The LexaBlog recently posted some interesting information about popular superheroes in the article “The Avengers: Most Popular Superhero?”
According to the article, writer Seth Redmore analyzed 330,000 tweets regarding the new Avengers superhero movie by sending out query topics on the main characters as well as the actors playing them.
Redmore breaks the information down for us with several charts showing the most to least popular characters as well as the most to least popular themes as well as hash-tags.
When discussing his process, Redmore states:
“This actually does a good job of showing why I wanted to create query topics for the superheroes. Many of their names come out looking more like themes than like proper “names”. Many of these themes aren’t particularly useful, so, I excluded a bunch of them when I was doing other sorts of analysis. Next, I decided to see what themes were most commonly associated with each of said superheroes. As I said before, I pulled out things like “watching avengers” when I was doing this analysis, as it adds nothing in terms of what people were associating with this character/actor.”
How will this aid your business? Send us your ideas via the comments section of this blog.
Jasmine Ashton, May 31, 2012
Sponsored by PolySpot
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