Topic Influences on Electronic Meeting Relevant Comments
نویسندگان
چکیده
Only rarely have researchers attempted to mathematically model the complex interrelationships of variables within an electronic meeting. Here, we show how topic-related measures can be used by an artificial neural network to accurately forecast the number of relevant comments generated by each person in these automated meetings. In comparison, naïve and multilinear regression forecasts were significantly different from the actual numbers of comments.
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