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.
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Notes
- 1.
The terms subjectivity and sentiment are very closely related, and we use the latter.
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Murray, G. (2016). Uncovering Hidden Sentiment in Meetings. In: Khoury, R., Drummond, C. (eds) Advances in Artificial Intelligence. Canadian AI 2016. Lecture Notes in Computer Science(), vol 9673. Springer, Cham. https://doi.org/10.1007/978-3-319-34111-8_9
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DOI: https://doi.org/10.1007/978-3-319-34111-8_9
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