Slight Twitter  Refactoring as Well as More NLP Stuff

Took out some of the noise in the words, started by assigning
res[j].toLowerCase() to the var currWord, added the function
findHashTags to separate out the hashtagged words, and added the
function testSimilarities to catch misspellings and eggcorns(?)
Merge branch 'master' of https://github.com/ECSAS-3/WordCloud

Conflicts:
	public/javascripts/twitter.js