Automatic Detection of Irrelevant Comments in an Electronic Meeting
Journal Title: INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY - Year 2017, Vol 12, Issue 1
Abstract
Groups exchanging ideas in electronic meetings often generate irrelevant or off-topic comments that can detract from the conversation. Here, we describe a system that seeks to identify this immaterial text using previously identified keywords. Results of an experiment with the system show that group members believe meetings do have irrelevant comments that waste time, but participants often enjoy them. The system achieved an F measure of 42.3% for recall and precision, and further research is necessary to determine if this is sufficient or what can be done to improve this score.
Authors and Affiliations
Milam Aiken, Bart Garner
Keywords
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- EP ID EP654121
- DOI 10.24297/ijmit.v12i1.6033
- Views 174
- Downloads 0
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