aws-samples / severless-ticket-sentiment-analysis-and-automated-escalation
This application "listens" for a ticket creation event from Zendesk, analyses the ticket for negative sentiment, tags the ticket accordingly and invokes an automated workflow (Step function) that escalates the ticket's priority according to your SLA wait times.
Summary
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| Main Code: 643 LOC (7 files) = YML (84%) + JS (15%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 219 LOC (9); |
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| Duplication: 32% | |||
| File Size: 0% long (>1000 LOC), 18% short (<= 200 LOC) | |||
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Logical Component Decomposition: primary (5 components) | ||
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1 year, 8 months old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
Latest commit date: 2021-09-14
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