Chuck Norris barometer app pitch

Sentiment analysis refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. From Wikipedia

How the polarity function works

Polarity assignment, a form of sentiment analysis, uses an algorithm to determine the polarity of a sentence/statement. The polarity score generated by the polarity function used in this app is dependent upon the word polarity dictionary used by Hu & Liu (2004). From qdap package vignette

## [1] "Example of negative sentence: <  After such a long walk, my legs hurt.  >"

##   words.count   polarity negative.words
## 1           8 -0.3535534           hurt

## [1] "Example of positive sentence: <  Sweet dreams honey.  >"

##   words.count  polarity positive.words
## 1           3 0.5773503          sweet

Hosted by shinyapps.io, code available @ github

This app wants to define if Chuck Norris is seen as a good or a bad entity by measuring the polarity of a pool of randomly chosen facts, and return it in a density plot. User can visually get the comparison between the part of the density graph higher that 0 (volume of positive score) and the part lower than 0 (volume of negative score), and read it as a measure of positive or negative sensation transmitted.

Chuck Norris 'facts' are satirical factoids about martial artist and actor Chuck Norris that have become an Internet phenomenon and as a result have become widespread in popular culture. The 'facts' are normally absurd hyperbolic claims about Norris' toughness, attitude, virility, sophistication, and masculinity. From Wikipedia

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