1. A method for classifying spoken content in a teleconference for a follower of the teleconference, the method comprising: detecting, via voice recognition and semantic analysis executed by one or more processors, a topic to which the spoken content belongs; determining, by the one or more processors, a correlation degree between the follower and the topic to provide a topic correlation degree; determining, by the one or more processors, a correlation degree between the topic and the spoken content to provide a speaker correlation degree; classifying, by the one or more processors, 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 displaying the spoken content according to the plurality of correlation degree levels.
1. A method for classifying spoken content in a teleconference for a follower of the teleconference, the method comprising: detecting, via voice recognition and semantic analysis executed by one or more processors, a topic to which the spoken content belongs; determining, by the one or more processors, a correlation degree between the follower and the topic to provide a topic correlation degree; determining, by the one or more processors, a correlation degree between the topic and the spoken content to provide a speaker correlation degree; classifying, by the one or more processors, 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 displaying the spoken content according to the plurality of correlation degree levels. 4. The method of claim 1 , wherein the topic correlation degree is determined by determining if each of a plurality of properties of the topic matches one or more properties of the follower and adding a property score to the topic correlation degree in response to a match of a property.