Classification of Meeting Activities
نویسنده
چکیده
In this paper, an attempt is made to automatically identify the activity a meeting is in. The input used in this identification is the frequency of each possible conversational state, and the frequency with which each speakers speaks. A number of classifiers were created and trained, and they performed very well when it was known in advance when an meeting switched activities. The performance, however, was found lacking when this information was not available.
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