  We present a study to analyze how word use can predict social engagement
behaviors such as replies and retweets in Twitter. We compute psycholinguistic
category scores from word usage, and investigate how people with different
scores exhibited different reply and retweet behaviors on Twitter. We also
found psycholinguistic categories that show significant correlations with such
social engagement behaviors. In addition, we have built predictive models of
replies and retweets from such psycholinguistic category based features. Our
experiments using a real world dataset collected from Twitter validates that
such predictions can be done with reasonable accuracy.
