10. An apparatus for classifying spoken content in a teleconference for a follower of the teleconference, comprising: one or more processors; a plurality of program modules executed by the one or more processors including a detecting module, a correlation degree determining module, and a classifying module; the detecting module configured to detect, via voice recognition and semantic analysis, a topic to which the spoken content belongs; the correlation degree determining module configured to determine a correlation degree between the follower and the topic to provide a topic correlation degree; the correlation degree determining module further configured to determine a correlation degree between the topic and the spoken content to provide a speaker correlation degree; the classifying module configured to classify the spoken content into a plurality of correlation degree levels according to an overall correlation degree that is a weighted sum of the topic correlation degree and the speaker correlation degree divided by an elapsed time since the spoken content was spoken; and the classifying module further configured to display the spoken content according to the plurality of correlation degree levels.
10. An apparatus for classifying spoken content in a teleconference for a follower of the teleconference, comprising: one or more processors; a plurality of program modules executed by the one or more processors including a detecting module, a correlation degree determining module, and a classifying module; the detecting module configured to detect, via voice recognition and semantic analysis, a topic to which the spoken content belongs; the correlation degree determining module configured to determine a correlation degree between the follower and the topic to provide a topic correlation degree; the correlation degree determining module further configured to determine a correlation degree between the topic and the spoken content to provide a speaker correlation degree; the classifying module configured to classify the spoken content into a plurality of correlation degree levels according to an overall correlation degree that is a weighted sum of the topic correlation degree and the speaker correlation degree divided by an elapsed time since the spoken content was spoken; and the classifying module further configured to display the spoken content according to the plurality of correlation degree levels. 11. The apparatus of claim 10 , wherein the topic correlation degree is calculated prior to the teleconference according to properties of the follower and properties of the topic.