support-tickets-classification and NLP-Case-Study---Automatic-Ticket-Classification
About support-tickets-classification
karolzak/support-tickets-classification
This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en
This project helps customer support teams automatically categorize incoming support tickets. By analyzing the text content of a ticket, it assigns values like ticket type, urgency, impact, and category. This saves helpdesk operators time that would otherwise be spent manually evaluating and classifying each submission.
About NLP-Case-Study---Automatic-Ticket-Classification
sukhijapiyush/NLP-Case-Study---Automatic-Ticket-Classification
Automated support ticket classification using NLP and ML algorithms.
This project helps customer support teams in financial companies automatically sort incoming customer complaints. It takes unstructured text data from customer tickets and assigns them to the correct department or category for quick resolution. Customer service managers or operations leads responsible for ticket management would find this useful.
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