Non-scribd version: https://www.dropbox.com/s/5r3nfol818s4qna/People%20love%20a%20good%20smooch%20on%20a%20balcony%20-%20Monitoring%20mood%20in%20the%20UK%20via

Non-scribd version: https://www.dropbox.com/s/5r3nfol818s4qna/People%20love%20a%20good%20smooch%20on%20a%20balcony%20-%20Monitoring%20mood%20in%20the%20UK%20via%20Twitter%20%28Rob%20Hawkes%29.pdf https://www.dropbox.com/s/5r3nfol818s4qna/People%20love%20a%... Context is sacrificed with the ANEW approach, though that's not to say that accuracy and results are compromised. It just means that you need to look at the output in a different way, after understanding the limitations of the input. In ANEW (the data-set used), words that imply multiple meanings are likely to receive more neutral values (it's all coded by humans). The SentiWordNet data-set is probably a little more like what you're expecting: http://sentiwordnet.isti.cnr.it/ http://sentiwordnet.isti.cnr.it/