Emotion Analysis of Telephone Complaints from Customer Based on Affective Computing

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="center" colspan="3">Recorders of telephone complaints</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">(1) Anger 01-broadband fault.wav</td><td align="center">(4)  Discontent 01-broadband fault.wav</td><td align="center">(7)  Calmness 01-broadband fault.wav</td></tr><tr><td align="center" colspan="3"><hr/></td></tr><tr><td align="left">(2)  Anger 02-improper charges.wav</td><td align="center">(5)  Discontent 02-improper charges.wav</td><td align="center">(8)  Calmness 02-improper charges.wav</td></tr><tr><td align="center" colspan="3"><hr/></td></tr><tr><td align="left">(3)  Anger 03-harassing messages.wav</td><td align="center">(6)  Discontent 03-harassing messages.wav</td><td align="center">(9)  Calmness 03-harassing messages.wav</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Part of the “.wav” files of telephone complaints.

Computational Intelligence and Neuroscience

tab3

Table 3

Table 3: Emotion Analysis of Telephone Complaints from Customer Based on Affective Computing 