Contestant on TouchDay.
Thank you! :-)
We do sentiment analysis on the content of the article which basically uses a predefined list of weighted words to calculate an overall score by going through the nouns, verbs and adjectives in the document, giving them a score from the list then tallying them. There are already a few npm modules out there that do this using the AFINN wordlist which is widely believed to be one of the best wordlists out there for sentiment analysis. See https://github.com/thisandagain/sentiment for more information and to demo it yourself :) Thanks for the vote!
Thanks for the detailed explanation. :) Nice job.