This paper reports a study on detection and expression of anger in French, conducted on natural speech data. Perceptual tests showed that both linguistic and prosodic cues could convey information about the affective state of the speaker. Pragmatic, segmental and supra-segmental analyses of the corpus were conducted in order to reveal the real cues that permit the detection of emotion and the classification of anger in degrees.