Abstract: A system for summarization of customer interaction is disclosed. The system includes a customer interaction subsystem to receive an input corpus. The system includes a token scorer including an issue prediction module to receive multiple tokens by splitting the input corpus. The issue prediction module includes the attention module to apply attention models hierarchically on the multiple tokens to obtain a machine-readable issue profile. The issue prediction module computes an issue prediction probability for each token based on the issue machine profile. The system includes a phrase extractor subsystem to extract phrases from the input corpus based on a set of predefined sentencing rules. The system includes a phrase selector subsystem to map each phrase with the corresponding issue prediction probability.