The Need attention scores are produced by the case scoring model. The scoring is done on a comment-by-comment basis and uses extracted NLP signals as well as number of comments and participants per comment to generate a needs attention score.
When a Need attention signal is extracted from the customer comments, it increases the score and only upon continuous followup by the agent the score can be reduced gradually.
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