Web Worker Daily

Do you know how people feel about you on Twitter? Are the tweets about you or your product mostly positive, negative or neutral? While things like feelings and sentiment can seem fuzzy and “touchy-feely,” there are sentiment analysis tools available for Twitter that attempt to classify tweets into either positive, negative or neutral categories automatically using algorithms and lists of keywords. For example, using words like “sucks,” “sad” and “hate” would be classified as negative, while “awesome,” “great” and “love” would be positive, with a neutral rating given to anything not falling into one of the other two categories. Read the rest of this entry »