Twitter Sentiments Analysis useful features
问题 I'm trying to implement Sentiments Analysis functionality and looking for useful features which can be extracted from tweet messages.The features which I have in my mind for now are: Sentiment words Emotion icons Exclamation marks Negation words Intensity words(very,really etc) Is there any other useful features for this task? My goal is not only detect that tweet is positive or negative but also I need to detect level of positivity or negativity(let say in a scale from 0 to 100). Any inputs