Improve per-word sentiment analysis #29
Description
Lots of words seem "off" (e.g. phone, surf being negative). Need to investigate a way to make these better than just a flat list of word => scores, since different regions are going to feel differently about words and manually adjusting word scores does not scale.
Should probably also use chunking for sentiment, instead of per-word checking.
This is probably the most common feedback received so far.
Ideas?