Improve per-word sentiment analysis

[drusepth]

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?