Twitter sentiment analysis
by Gilbert Keith
Doing some basic stuff for this class on coursera. One of the assignments was to tap into the twitter stream and find out the “Sentiment” of each tweet using some known sentiment indicators. And based on that, attempt to derive sentiment values for words which aren’t in the known list.
Therefore, I know claim to have complete knowledge of about 2000 “terms” that I caught on the twitter stream during a random 10 minute period between 7 and 8 p Pacific Time last night. Click on the link below.
Fair warning, most of the stuff is useless. It’s all in good fun, but I don’t purport to help you derive any value. I filtered out all “terms” beginning with “http://” or “https://” and all @mentions.