On Wednesday, 21 October 2015 at 09:09:27 UTC, Chris wrote:
What exactly is sentiment analysis and how do you go about it?
Determining whether the sentiment of a piece of text is positive, neutral, or negative. Currently twitter is a pretty popular source of data in academia, as emoticons can be used as sufficiently accurate proxies for labels. Using psuedo-labelled tweets, one can then come up with a feature representation (e.g. bag of words, tf-idf) and use some sort of classifier (e.g. linear SVM or softmax regression) to determine the sentiment of novel tweets. This is a pretty simple approach, and probably not hard to improve on.
