Uncovering hidden sentiment in meetings

Abstract

The sentiment expressed by a meeting participant in their face-to-face comments may differ from the sentiment contained in their private summary of the meeting. In this work, we investigate whether we can predict the sentiment score of a participant’s private post-meeting summary, based on multi-modal features derived from the group interaction during the meeting. We describe several effective prediction models, all of which outperform a baseline that assumes the sentiment score of the summary will be the same as the sentiment score of the participant’s comments during the meeting.